How to Think About Pricing in India

Price is a signal before it is a number.

In most markets, a buyer evaluates a product and then reacts to the price. In Indian B2B markets, particularly at the enterprise and upper-SMB level, the price is part of the evaluation. It tells the buyer something about how the seller sees the product’s value, whether the company is financially stable, and how the relationship will be conducted. Founders who treat pricing purely as a revenue optimization problem miss this dimension entirely.

This guide is about the structural realities of pricing in India that most frameworks do not address, and the specific patterns that compound into problems if not understood early.

The Buyer’s Reference Point Is Not What You Think

The instinct when entering an Indian market is to benchmark against what comparable products charge in the US and apply a discount. The discount is usually too large, and the reference is usually wrong.

Most Indian B2B buyers are not comparing your product to its US equivalent. They are comparing it to what they currently do. And what they currently do, in a large part of the Indian economy, is employ people.

A procurement manager at a mid-size manufacturer is not thinking about what SAP charges. She is thinking about the two employees who currently manage procurement through phone calls and spreadsheets, what they cost, and what errors they produce. A logistics operator is not benchmarking against US fleet management software. He is calculating whether your product is cheaper than the coordinator who calls drivers every morning to confirm dispatch.

When the incumbent is a person rather than a product, the price comparison changes entirely. The cost of manual labor in India is not low: a competent junior employee in a Tier 1 city costs ₹25,000 to ₹40,000 per month inclusive of provident fund, insurance, and overhead. Two employees managing a process your software replaces represent ₹50,000 to ₹80,000 in monthly cost. A founder who prices their product at ₹8,000 per month because they are nervous about India’s price sensitivity is leaving most of the available value on the table and inadvertently telling the buyer that the product is not serious.

The right starting point is a conversation with the buyer about their current process: how many people are involved, how much time it takes, what errors it produces, and what those errors cost. That conversation establishes a value anchor that makes almost any reasonable software price look like a good deal.

Low Prices Communicate Risk

There is a counterintuitive dynamic in Indian enterprise sales that experienced founders know and early-stage founders regularly discover the hard way.

When an early-stage company prices significantly below what an enterprise buyer expects for a product that solves a serious problem, the buyer’s first reaction is often not relief. It is suspicion.

A large Indian business evaluating a software vendor is asking several questions simultaneously: Does this product work? Will this company support it when something goes wrong? Will this company still exist in two years? A price that feels dramatically low raises all three questions without answering any of them. The buyer’s inference is not that they are getting a good deal. The inference is that something might be wrong.

This is not unique to India, but it is more pronounced in Indian enterprise markets where the consequences of a failed vendor relationship are social as well as financial. A CFO who approved a vendor that failed has a problem that is visible inside the organization. The price they paid is part of that story.

Pricing to the value you deliver, rather than to the floor of what you believe the market will accept, is not just a revenue decision. It is a credibility decision. The two are more connected in India than most pricing frameworks acknowledge.

The Pilot Trap

Indian enterprise buyers ask for pilots. This is reasonable: they are evaluating an unknown vendor on a problem that matters. A pilot is how they manage that risk.

What is less reasonable, and more common, is the pilot with no defined end point and no conversion criteria. A free pilot of indefinite duration is not a pilot. It is a free subscription with the expectation managed on the buyer’s side and the cost borne entirely by the seller.

The founders who have seen this pattern a few times know what it looks like: four to six months of positive feedback, a growing list of internal users who love the product, enthusiastic check-in calls, and no commercial conversation. The pilot has become the relationship. The buyer has no incentive to convert it into a contract because the current arrangement is already giving them everything they need.

The correction is to charge for the pilot. Not a commercial rate, but a real number that requires an actual purchase order or bank transfer. Even a nominal paid pilot changes the dynamic in a specific way: it has required the buyer to involve their finance or procurement function. Someone has approved the expenditure. There is now a stakeholder inside the buying organization who has made a decision about this vendor, and that person has an interest in seeing the pilot conclude one way or another.

Conversion rates from paid pilots to commercial contracts are substantially higher than from free pilots. The explanation is not that paying unlocks goodwill. It is that a financial commitment, however small, forces organizational seriousness that a free engagement does not.

The Price Travels Through the Market

When a large or prominent customer signs at a significantly reduced price, that price often does not stay private.

Indian business communities, particularly within specific industries, are more connected than they appear from the outside. The textiles cluster in Surat, the gems and jewelry community in Mumbai, the automotive ancillary suppliers in Pune: these are communities where people talk, where the procurement head at one company knows her counterpart at a competitor, and where information about what vendors charge moves through the network.

A founder who prices a large conglomerate at 40 percent below list to win the account may find, within 12 to 18 months, that every other prospect in that industry has the same number in mind when the sales conversation starts. The discount has become the market price.

The version of this that compounds fastest is when a marquee customer is given free access in exchange for a reference or a case study. The reference often does not materialize, for reasons that have nothing to do with satisfaction: the internal champion moves roles, the legal team declines to allow public commentary, the company’s communications policies change. The free access remains. And the market knows that a name-brand company is using the product at zero cost.

The more durable approach with marquee customers is to charge a real price and invest in their success. A customer who paid fairly and had an excellent experience is a stronger reference than a customer who got a steep discount and is privately uncertain whether they would have paid commercial rates.

The Budget Cycle Most Founders Do Not Account For

India’s corporate fiscal year runs April to March. This is not a trivial detail. It shapes the entire rhythm of enterprise purchasing in ways that directly affect how deals close and when.

Large Indian enterprises set technology budgets in January and February for the fiscal year beginning in April. By October, most budget has been allocated. A deal that surfaces in November is almost always competing for unallocated budget from the current year or pre-selling against next year’s cycle. Both conversations are harder than they look.

The timing implication for founders: the most productive windows for enterprise sales in India are April through June (new budget, fresh priorities) and September through October (Q2 close, before year-end planning begins). Deals initiated in November and December often stall not because of product or price objections, but because the organizational machinery for approving new spend has slowed for the year.

Understanding this cycle also clarifies why some deals seem to move quickly and others take forever despite similar levels of enthusiasm. The prospect who is enthusiastic in August is working within active budget. The equally enthusiastic prospect in November is asking you to either compete for end-of-year unallocated funds or wait.

The Champion and the CFO Are Different Conversations

In Indian enterprise, the person who is most enthusiastic about your product is frequently not the person who controls the budget.

A supply chain head who wants your inventory management software has to convince a CFO who thinks about headcount, balance sheets, and the cost of changing systems. A marketing director who wants your analytics product has to convince a procurement team that evaluates vendors on stability and compliance criteria as much as on product quality. The internal champion and the budget authority are different people with different concerns, and pricing that works for one often does not work for the other.

The specific failure mode is pricing in a way that makes sense to the champion but does not give them the language to make the case to their CFO. A CFO evaluating a software purchase is asking a different set of questions than a functional head. They want to know: what happens to headcount? What is the three-year TCO? What is the risk if the vendor fails? What does this cost compared to what we currently spend?

Pricing that is designed to clear the CFO’s questions, not just the champion’s enthusiasm, closes faster. This means having a clear number for what the product replaces in cost terms, a total cost of ownership calculation that survives scrutiny, and a commercial structure (annual contract, clear implementation scope, defined support terms) that the CFO can defend internally.

Seat-Based Pricing Often Fails in Indian SMBs

In Indian small businesses, seat-based pricing runs into a specific behavioral reality: credential sharing.

A small business owner who is being charged per user will, very often, create one account and have multiple employees use it. This is not piracy in the way they think about it. It is the same mental model that governs sharing a cable subscription or a newspaper. One purchase, shared benefit.

This behavior means that seat-based pricing systematically underestimates usage and, critically, gives the founder no visibility into how widely the product is actually adopted within the customer’s organization. A customer who shows as one seat may have eight people using the product daily. When that customer churns, the real loss is eight users’ worth of embedded value, not one.

Per-transaction or per-outcome pricing sidesteps this problem entirely. The customer does not think about seats. They think about usage, and usage is what generates the bill. The founder gets accurate signal about adoption and a pricing model that scales with value delivered.

For products where per-outcome pricing does not fit the product structure, usage-based tiers (light, standard, heavy) based on actions or outputs rather than named users often work better in Indian SMB than pure seat counts.

Price Sensitivity Is Not Uniform Within a Category

Indian market analysis often treats price sensitivity as a feature of a buyer segment. SMBs are price-sensitive. Enterprise is less price-sensitive. This is a starting point, not a conclusion.

Within any segment, willingness to pay varies dramatically based on what is at stake if the problem is not solved.

Consider accounting software. The average Indian SMB might resist paying ₹3,000 per month for accounting software because the consequence of managing accounts manually is inconvenience and some time lost. The same SMB that has recently received a GST scrutiny notice will pay multiples of that immediately, because the consequence of getting accounts wrong has become reputational and legal risk.

Consider logistics software. A transporter who moves ordinary consumer goods may resist paying for a digital dispatch system. A transporter who moves pharmaceutical cold chain or high-value electronics, where a lost or delayed shipment means a contract termination, will pay significantly more because the cost of failure is asymmetric.

The implication for founders is that the same product can command very different prices depending on which version of the customer’s problem you are solving. The customer who has already been burned by the failure mode your product prevents is the easiest sale and the highest-value customer. Finding that customer, and pricing to the risk they are trying to eliminate rather than to the average willingness to pay in the segment, is one of the most underused approaches in Indian B2B pricing.

One Community Customer Can Make the Next Twenty Free to Acquire

This dynamic is specific to Indian markets and significantly undervalued in how founders think about early pricing.

Indian B2B markets in specific geographies and industries are genuinely community-structured. The diamond traders of Surat, the cotton ginners of Vidarbha, the auto component manufacturers of the Pune-Nashik corridor: these are industries where buyers know each other, trust each other’s recommendations, and frequently make adoption decisions as a community rather than independently.

In these markets, one genuine success story from a trusted peer is worth more than any amount of outbound sales or product marketing. A founder who acquires the right first customer in a community, invests heavily in making that customer successful, and creates conditions for that customer to talk about the product, will find that the second and third and tenth customer in the same community require almost no sales effort.

The pricing implication is that the first customer in a community is not just a revenue decision. It is a distribution decision. Spending more on that customer’s success, whether through implementation support, dedicated attention, or a slightly better commercial arrangement in the early stage, is not a cost of sale. It is a cost of distribution into the community. The economics of the arrangement look very different when you account for the customers it unlocks.

Frequently Asked Questions

Should Indian SaaS companies price lower than their US equivalents?

The right reference point is not the US price discounted for purchasing power. It is what the customer currently spends on the problem. In many Indian B2B categories, that number is the cost of the people doing the process manually. Understanding that number before setting a price tends to produce figures that are higher than founders assume the market will bear.

When does freemium work in India?

When adoption is individual-level and the product spreads virally through organizations. Developer tools, collaboration software, and products where one user inviting others generates organic growth can work on freemium in India. B2B products where the buying decision is organizational rarely convert well from free. A time-limited trial with a defined conversion moment usually outperforms a permanent free tier for organizational buyers.

How should founders handle requests for free pilots?

By charging for them, even nominally. A paid pilot requires the buyer to involve procurement or finance, which creates internal stakeholders with an interest in seeing the evaluation conclude. Free pilots with no end point frequently become free subscriptions.

What is the right way to handle discounting?

Every discount should have a documented rationale and a defined time limit. Volume commitment, annual billing, early customer status. Undocumented discounts become expectations, travel through market networks, and create a chaotic pricing history that is difficult to explain at Series A.

Does the fiscal year matter for enterprise sales timing?

Significantly. Indian enterprise budgets are set for April-March. The highest-velocity windows for enterprise deals are April through June and September through October. Deals initiated in November and December frequently stall because of budget cycle dynamics rather than product or price objections.

How to Sell to Indian SMBs

Selling to Indian SMBs is one of the largest and most misunderstood opportunities in the country.

The scale is well known. Roughly 63 million MSMEs, digitising fast, generating a growing share of India’s non-metro GDP. What is less understood is what actually converts an SMB buyer, and why so much of the standard advice on this market travels poorly.

Most playbooks that circulate are borrowed. Some come from enterprise SaaS. Some from consumer software. Some from writers who have never sat across a desk from a textile trader in Surat. None fit the Indian SMB cleanly, and the reasons are structural. The Indian SMB is not a smaller enterprise. It is not a business version of a consumer. It is a third kind of buyer, with its own decision cycle, its own trust mechanism, its own willingness to pay, and its own distribution reality.

Five principles below, drawn from patterns we have watched inside our portfolio and across the broader ecosystem. None are theoretical. All are things founders eventually learn on the ground. The point of writing them down is to shorten the curve.

Who we mean by “Indian SMB”

India has 63 million MSMEs. That number, on its own, is not very useful for product decisions. It stretches from the paan shop on the corner to a 400-crore auto-component manufacturer in Pune.

The addressable slice that venture-backed SaaS can realistically serve is roughly 2 to 3 million businesses. Owner-operated, 5 to 100 employees, revenue between 50 lakh and 50 crore, digitally adjacent (UPI, WhatsApp, sometimes Tally). The rest of the 63 million is a critical part of the Indian economy but requires a different model to reach: usually one where credit, commerce, or agent networks carry the cost of the software layer.

Five principles

1. The buying committee is bigger than you think

Nominally, one person runs the SMB. In practice, three to five people vote on any purchase above five thousand rupees a year. The owner. The spouse. The chartered accountant. The son or daughter being groomed. Sometimes a trusted peer in the community. Any one of them can kill the deal.

The chartered accountant is the highest-leverage of these voices. India has roughly 400,000 practising CAs, and every SMB defers to theirs on anything involving money, tax, compliance, or software. Vyapar and TallyPrime dominate not because their software is dramatically better but because every CA in India recommends them by reflex. Zoho Books built its India traction by making the CA the primary evangelist. If your product does not have a CA channel strategy on day one, you are competing with one hand tied.

Practical test: talk to twenty CAs before your seed round. If they cannot see why they would recommend the product to their SMB clients, redesign it.

2. Trust is a physical object

Enterprise buyers accept remote sales. Consumer buyers accept self-serve. The Indian SMB owner needs to see something physical. A local salesperson. A demo across a desk. A reference customer at the trade association meeting.

The channels that work: CA networks, trade associations (textile, jewellery, engineering, packaging), community networks (Marwari, Gujarati, Sindhi, Chettiar), franchise and agent models, in-market events. BharatPe’s early growth was not advertising. It was feet-on-street agents in Karol Bagh and Chandni Chowk, one merchant at a time.

The channels that do not work at scale: LinkedIn ads (LinkedIn is for salaried professionals, not owner-operators), Google Ads for generic SMB queries (mostly click farms), cold email (Indian SMB owners read WhatsApp, not inbox), and content marketing to English-speaking audiences (fine for building CA brand, wrong for the actual buyer).

3. Everyone underprices

The instinct is to price low because “SMBs won’t pay.” It is usually wrong. Indian SMB owners have a sharp sense of value. They pay 50,000 rupees a month to a good CA. They pay 25,000 a year for a Tally licence. They pay 100,000 for a security camera setup. What they will not pay is 500 rupees a month for something that feels like a nice-to-have.

Better structures: one clear annual price in the 5,000 to 25,000 rupee range, cash discount of 10 to 15 percent for annual upfront, one plan not four. Auto-debit adoption in Indian SMB is under 20 percent, so the US SaaS card-on-file model will not carry your renewals. Design for a renewal conversation, not an autopay pull.

Freemium works only if the free tier is a genuine funnel. In most Indian SMB categories, the free tier becomes the product and paid conversion stays under 3 percent.

4. Support is the product

Enterprise support is a ticketing system. Consumer support is a chatbot. Indian SMB support is WhatsApp. In-language. Human. Fast.

Khatabook built its user base on Hindi WhatsApp support that answered within thirty minutes. BharatPe put voice support in Indian languages at the centre of the merchant relationship. Refrens, Vyapar, and every winning SMB product has treated support as strategic, not a cost centre.

Cost math: an agent capable of Hindi, one South Indian language, and English costs 5 to 8 lakh a year fully loaded, and retains 400 to 600 customers annually if the product is stable. This works if the product is priced correctly. Founders who under-invest in support and over-invest in acquisition end up with high CAC, poor retention, and no idea what customers actually want.

5. The second sale is the real business

The first sale to an Indian SMB is a favour. The renewal, the upsell, and the referral are the actual business. Retention, when the product delivers, is remarkably sticky. An SMB owner who has trusted a product with their books, their payments, or their compliance does not casually switch. Lifetime values of five to seven years are common. Ten to fifteen is not rare.

But renewal is not automatic. Thirty days before expiry, someone on your team needs to WhatsApp the customer, share a summary of what the product has done in the last year, and invoice for the next twelve months. Skip this and happy customers churn out of forgetfulness.

The best Indian SMB companies are stack businesses. They land on one product (accounting, payments, invoicing) and expand into two or three adjacent ones over three to five years. Accounting to payments to credit to insurance is the pattern that keeps working. Founders who plan the stack from day one, but ship one product at a time, compound faster than founders who bolt on services later.

What Kae looks for

The founders who win in SMB can describe the target buyer’s family, not just the job title. Home town. Frustration with the incumbent tool. Sunday routine. That kind of specificity comes from either growing up in a business family or spending two to three years working inside the industry before starting. Secondary research from a Bengaluru office does not close the gap.

Beyond that, the pattern we back: a specific answer to “how do you reach the first 500 customers” that is not “Meta ads and content marketing”, a retention thesis before an acquisition thesis, a pricing number tested against what the buyer already pays for adjacent services, and a support model treated as strategic, not overhead.

The Indian SMB market is not getting easier. The buyer is still relational, still risk-averse, still under-served by imported playbooks. What is changing is the infrastructure. GST digitisation, UPI ubiquity, Account Aggregator, and a second generation of digitally-fluent owner-operators are all now real. The founders who understand this are compounding quietly. The ones who do not are running the same enterprise-lite motion that has failed for a decade.

What To Build: Healthtech

Part three of a series. We did consumer AI first because the anxiety was loudest, fintech second because the opportunity was least understood. We are doing healthtech third because almost everyone gets this category wrong and the prize for getting it right is the largest of the three.

The reflex says healthtech is hard. The reflex is right and wrong.

For fifteen years, Indian healthtech has been structurally hard. Telemedicine ran into unit economics that did not work at scale. Pharmacy apps competed away their margins on a commoditised SKU set. Health insurance lived inside opaque sales channels that no software layer fully fixed. Hospital chains needed patience that most venture capital did not have. The 2021 boom inflated valuations the 2023 reset took back down. A lot of good founders took the shot; the structural realities held them back.

The reflex this produced is “healthtech is too hard in India. Skip the category.” That reflex is right about the playbook of the last decade and badly wrong about the next one. The shape of the opportunity has changed in five specific ways that almost no one has internalised.

First, the infrastructure caught up. The Ayushman Bharat Digital Mission now has 760 million health accounts and ABHA IDs are being linked across hospitals, diagnostics, and pharmacies. The second phase, rolling through 2026, mandates cloud-first data sharing and ABHA integration for any hospital larger than 50 beds. The interoperability layer that took the United States twenty years to half-build, India is shipping in five.

Second, the economics caught up. Continuous glucose monitors crossed below 3,000 rupees per sensor in 2025. Whole genome sequencing dropped below 200 dollars in 2026 thanks to government-backed Biopharma SHAKTI investments. Wearable BP monitors, ECG patches, pulse oximeters, and connected scales are all in the affordable consumer range. The “rich-person tech” of 2020 is now mass-market hardware.

Third, the regulation caught up. 100 percent FDI in insurance opened up annuity and outcome-based product design. The DPDP Act formalised health data consent. IRDAI’s 2025 framework allowed embedded and parametric health insurance. The CDSCO software-as-medical-device guidelines clarified what an AI clinical tool can and cannot claim. These are not perfect rules, but they are real rules, and ambiguous regulation has historically been the single biggest blocker for Indian healthtech.

Fourth, the AI got useful. AI radiology, AI pathology, ambient clinical scribing, voice-driven triage, and decision support for the GP are all crossing usable thresholds in 2026. Qure.ai and Niramai are exporting Indian-built diagnostic AI globally. AIIMS deployed AI research centres across 22 campuses. The Indian government has put more than a billion dollars behind AI in healthcare. This was not the situation eighteen months ago.

Fifth, the capital noticed the asset-light hospital model. The Indian asset-light hospital services market is growing at roughly 30 percent CAGR. Single-specialty chains in IVF, oncology, and nephrology pulled in 1.4 billion dollars in PE in the last 24 months. HCG raised 425 crore in FY26 alone to expand precision oncology. The era of building a 500-crore multispecialty hospital and waiting fifteen years for ROI is being replaced by smaller, focused, high-throughput models.

Put it together and India in 2026 has the digital backbone, the affordable hardware, the workable rules, the credible AI, and the new asset-light playbook. None of those existed at once before. The ideas below are the products to build on top of that stack.

A note before the list. Healthtech rewards depth in one place and punishes generalism. Most of these ideas are not “platforms”; they are care companies, clinical products, or operationally heavy businesses. We have tried to be specific about which is which. The teams that win in this category are typically two-founder pairs where one founder is a real clinician or operator and the other is a real builder. If you do not have the clinician half of the team, fix that before you raise.

If you are building one of the twenty below, or a sharper version of one, come talk to us.

1. The next India pharmacy

Tata 1mg, Apollo 24/7, PharmEasy, Netmeds. The first wave built distribution, then ran into thin margins on a commoditised SKU set. The next pharmacy is not a delivery business; it is a care relationship that happens to dispense medicine.

Build a pharmacy that knows the patient. The wedge is chronic disease cohorts: hypertensives, diabetics, post-MI patients, asthmatics. Each customer is on three to seven prescriptions for years. The product is a subscription that includes the medication, an adherence layer, monthly check-ins with a pharmacist, refill orchestration synced to the doctor visit, and proactive flags when something is off. Margins compound through retention, not through paid acquisition.

Why now: ABHA integration means the pharmacy can see the actual prescription history, not just the current refill. Connected devices feed back vitals. The retention curve of a chronic patient is dramatically longer than the average e-commerce buyer.

Who wins: a pharmacist or clinician founder paired with a strong consumer product team. Operators who have run an actual pharmacy chain, not generic D2C founders.

Watch-outs: do not chase the entire pharmacy market. The acute one-time customer (a course of antibiotics) is unprofitable. Pick the chronic patient and build the loyalty engine specifically for them.

2. Diagnostics-first health membership

Tata 1mg, Healthians, Redcliffe, and Apollo Diagnostics each do millions of tests a year. The customer relationship ends when the report is delivered. The result sits in WhatsApp, gets shown to a GP once, and disappears. The next product treats diagnostics as the start of the relationship, not the end.

Build a diagnostics-led health membership. Annual or quarterly subscription that includes a baseline panel, longitudinal tracking, a personal health doctor who reads the results, lifestyle and supplement recommendations, and a clear escalation path if something is off. The bet is that 8 to 12 percent of users will discover something actionable in any given year, and the product becomes the trusted layer between the user and the clinical system.

Why now: lab automation has driven test prices down 60 to 80 percent in five years. CGMs, ECGs, and at-home blood draws make the data flow continuous, not episodic. ABHA-linked records make longitudinal tracking possible for the first time.

Who wins: a founder who can run both the operational lab side and the clinical content side. A pure consumer founder gets the experience right but fails at the lab cost structure. A pure lab founder fails at retention.

Watch-outs: do not become an insurance product by accident. Selling membership that pays for tests blurs into insurance regulation. Stay clearly on the wellness and prevention side or get an insurance licence.

3. Women’s health, expanded beyond PCOS

Women’s health in India has historically meant maternity (the institutional model) or PCOS (the recent D2C wave). Both leave huge gaps. The full lifecycle of an Indian woman, from puberty through fertility planning through menopause through bone health and cardiovascular care in her 50s and 60s, is not served by a single trusted product.

Build a women’s health platform that follows the user across decades. Adolescent care (PCOS screening, mental health, contraception). Pre-conception and fertility planning. Pregnancy and postpartum, but as a longitudinal product, not a one-time event. Perimenopause and menopause (Indian women experience menopause five to seven years earlier than Western cohorts; the data and the products are both inadequate). Bone, thyroid, and cardiovascular care in later decades. Each life stage is a different product feature; the platform is the relationship.

Why now: women’s health has become a real venture category in 2025 and 2026. Maven, Tia, and Hertility in the US have proven the model. India needs the version that handles the joint family, in-law, and clinical access realities that Western products ignore.

Who wins: a female founder pair with deep credibility, ideally one a clinician (gynaecologist or endocrinologist) and one a consumer builder.

Watch-outs: do not market as “wellness.” Indian women are sophisticated consumers of clinical care and are insulted by wellness-light positioning. Lead with clinical credibility.

4. The IVF and fertility chain, reimagined

The Indian fertility market is roughly 1.5 billion dollars and growing at 18 to 20 percent CAGR. Indira IVF runs 140-plus centres. Nova IVF, Birla Fertility, and ART have scaled. The category is consolidating, but the patient experience remains medieval. Couples spend 2 to 8 lakh per cycle, often for two or three cycles, with success rates that vary wildly and almost no transparency.

Build an IVF and fertility chain that competes on outcomes and experience, not on advertising. Standardise the protocol. Publish honest cycle success rates per age cohort. Use AI in embryo selection and ovarian stimulation protocols (early evidence shows materially improved live-birth rates). Include the male-factor workup as default, not afterthought. Bundle psychological care across the brutal emotional arc.

Why now: AI in embryo selection (companies like Alife, Embryonics, and Avenir genetics) has moved from research to deployment. Indian fertility patients are increasingly digital-native and informed; the days of patriarchal “trust the doctor” are ending.

Who wins: a clinician (reproductive endocrinologist) plus a strong operator. This is a clinic chain, not a software business.

Watch-outs: do not race to scale by adding low-quality clinics. The category’s reputation is fragile, and one botched cycle that goes viral on Instagram can damage the brand for a decade.

5. Pediatric primary care, redesigned

Indian families spend hundreds of thousands of rupees on schooling, then take their child to the GP next door for everything from a fever to a developmental concern. The pediatric primary care layer is fragmented, often staffed by general practitioners with limited pediatric training, and rarely longitudinal. The Indian middle class will pay for better.

Build a pediatric primary care company. Physical clinics in residential dense pockets of tier 1 cities, complemented by a digital layer. Pediatricians, not GPs. Vaccinations, developmental milestone tracking, behavioural and learning concerns, nutrition, sleep, common illness, and chronic conditions like asthma and allergies. Each child has a longitudinal health record from birth to adolescence. Membership pricing per child.

Why now: tier 1 family incomes have grown materially. Willingness to pay for premium pediatric care is the highest in 20 years. Connected devices (thermometers, otoscopes, etc.) reduce visit friction.

Who wins: a pediatrician with operator instincts paired with a consumer product founder.

Watch-outs: clinic-led healthtech needs real estate discipline and per-clinic unit economics that work standalone. Do not subsidise clinics with venture money expecting later monetisation. Each clinic must pay back in 24 to 36 months.

6. Mental health for kids and teens

The mental health crisis among Indian children and adolescents is real and largely invisible. School counsellors are under-resourced, parents are reluctant to engage, and the clinical system has almost no infrastructure for this cohort. Suicide is now the leading cause of death for Indian adolescents in many states. The category exists in research papers and almost nowhere as a product.

Build a clinical mental health product for Indian children and adolescents aged 8 to 18. School partnerships as the primary distribution. Trained clinicians (paediatric psychologists and psychiatrists) doing structured CBT, family therapy, and crisis intervention. AI-supported screening to identify at-risk kids. Parent and teacher coaching. Crisis pathways including suicidal ideation protocols. This is a clinical operation with a software layer, not the reverse.

Why now: post-pandemic mental health awareness in Indian schools jumped substantially. The CBSE 2024 advisory on mental health screening created institutional demand. AI-supported triage and clinician productivity tools are finally credible.

Who wins: a clinical child psychologist who has run a real practice, paired with a B2B founder who can sell to school networks. School distribution is half the product.

Watch-outs: child mental health is the highest-stakes category in this list. Build the clinical governance, supervision, and escalation pathways before you build growth. One avoidable adverse event sets the category back five years.

7. AI-driven home healthcare

Portea pioneered home healthcare in India a decade ago and the category has plateaued. The reasons are operational, not demand-side. Skilled nursing supply is tight, scheduling is messy, and quality varies hugely. AI can fix most of the operational pain that has held the category back, while demand is structurally accelerating as the over-60 population reaches 150 million.

Build an AI-native home healthcare company. The product is two halves. The B2C half handles post-operative recovery, chronic care, elderly care, palliative care, and physiotherapy at home. The B2B half is the operational AI: scheduling, route optimisation, real-time triage of nurse-to-clinical-supervisor escalations, electronic documentation that flows back to the hospital and insurer, and predictive analytics on patient deterioration. The latter is what makes the former actually work at scale.

Why now: voice-driven documentation finally works in Indian languages, removing a major time sink for home health nurses. Connected monitoring devices stream into the platform. The over-60 cohort is at structural scale.

Who wins: an operator who has run a home health business and seen the operational failure modes, paired with a strong AI engineering team.

Watch-outs: do not over-index on the consumer brand. The actual moat is the operational software and the nurse network. Companies that spent on brand and skimped on ops never crossed the chasm.

8. Vision and dental for Bharat

Lenskart proved the model for vision and is now valued accordingly. Clove and Toothsi have made early progress in dental. Both categories are massively underpenetrated in tier 2, tier 3, and rural India. Vision: roughly half of Indians who need glasses do not have them. Dental: only 1 percent of India’s 5 lakh dentists practise in tier 2 and below.

Build a vision or dental chain designed for Bharat from day one. Smaller-format clinics in tier 2 and tier 3 cities. Lower price points, payment plans, group discounts via employers and government schemes. Telehealth backbone for triage and follow-up. Standardised protocols. Use vans or pop-up camps to reach district headquarters that cannot support a permanent clinic.

Why now: the Lenskart playbook validated that the consumer optical category is large enough. Government and employer-funded health schemes increasingly cover vision and dental basics. Last-mile logistics in tier 2 and 3 has improved substantially through Delhivery, Ecom Express, and Shadowfax.

Who wins: a founder who has built a chain in any consumer category and understands tier 2 unit economics. Healthcare-only founders typically underestimate retail.

Watch-outs: each clinic must be standalone-profitable within twelve months. Do not let a few showcase clinics in metros fool you into believing the model works. Tier 2 is the test.

9. Teledermatology with AI triage

Indian dermatology runs on two tracks. The metro track is over-supplied with cosmetic-led clinics. The tier 2 and rural track is starved; the average district has fewer than ten qualified dermatologists. Skin conditions including acne, eczema, fungal infections, and chronic dermatoses affect tens of millions, and most never see a specialist. Tele-derm is the obvious answer and has been attempted, but never well.

Build an AI-augmented tele-dermatology company. The user uploads images. An AI model trained on Indian skin tones (note: most existing models are not) generates a preliminary triage. A qualified dermatologist reviews and confirms within hours. Treatment plan, prescription, and over-the-counter product recommendations follow. Recurring follow-up via the app. Distribution through GP networks and pharmacies in tier 2.

Why now: image-based dermatology models calibrated to Indian skin tones have started shipping in 2025. The cost of a tele-consult is finally below what a tier 2 family will pay out of pocket.

Who wins: a dermatologist co-founder is non-negotiable. The other co-founder needs a strong consumer product or AI background.

Watch-outs: do not become a pharmacy in disguise. The temptation to push high-margin OTC products will compromise clinical trust. The product is the diagnosis and the relationship; the medication is the side effect.

10. AI radiologist for tier 2 and 3

India has roughly 15,000 trained radiologists serving 1.4 billion people. The shortage is acute in tier 2 and 3, where many small hospitals run imaging machines without a full-time radiologist; films get sent to a metro radiologist with a 24 to 72 hour turnaround. AI-assisted radiology has been the most clinically validated application of medical AI globally and the time-to-deploy in India is now.

Build a teleradiology and AI radiology product targeted at tier 2 and 3 hospitals and diagnostic centres. The AI flags critical findings (intracranial bleeds, pulmonary embolism, fractures) in real time. A network of radiologists reviews and signs off remotely with workflow optimisation. Critical findings escalate within minutes; routine reads come back within hours. Pricing per study or per month, with hospital integration via DICOM.

Why now: Qure.ai and a handful of others have already proven the FDA, EU, and India regulatory pathway. India’s 22-campus AIIMS AI deployment validates clinical credibility. Hospitals in tier 2 are actively shopping for the integrated stack.

Who wins: a radiologist plus a strong machine learning team. The clinical workflow nuance matters more than the model.

Watch-outs: liability is the entire business. A missed cancer or a missed bleed is a career-ending event. Build clinical governance, escalation pathways, and second-read protocols from day one.

11. AI pathologist for cancer screening

Cervical, breast, and oral cancer screening at scale in India is gated by the shortage of trained cytopathologists. Government programmes have tried to deploy screening; the bottleneck is reading the slides. AI for pathology image analysis has matured to the point of clinical viability, and India is a natural deployment ground.

Build an AI-pathology company focused on cancer screening at population scale. Partner with diagnostic chains, public health programmes, and tier 2 hospitals. Slides are digitised once and read by AI in minutes, with pathologist sign-off for positives. The economic model can support population-level screening that human-only workflows never could. The wedge can be cervical (HPV-driven, well-validated AI), breast (mammography and FNAC), or oral (smartphone-camera-based screening for high-risk cohorts including tobacco users).

Why now: digital pathology hardware costs collapsed in the last 36 months. AI accuracy in specific cancer types has crossed pathologist parity in published trials. The government’s cancer-screening push is creating institutional demand.

Who wins: a pathologist or oncologist plus a strong AI team. Distribution requires relationships with public health systems.

Watch-outs: regulatory clearance for autonomous AI diagnosis is not yet there in India. Design as “AI-assisted pathologist sign-off” not “AI alone.” Get the CDSCO classification right at the start.

12. The doctor copilot for OPD

Indian outpatient practice runs on three-minute consultations and handwritten prescriptions. Doctors lose 30 to 40 percent of their time to documentation, prescription writing, follow-up reminders, and basic patient communication. None of this is value-added clinical work. AI ambient scribing, prescription generation, and patient communication tools, calibrated for Indian languages and the actual OPD workflow, are a massive opportunity.

Build a doctor copilot product. Voice-driven ambient documentation that listens to the consultation, extracts the clinical note, generates the prescription in the doctor’s preferred format, and pushes the follow-up reminder to the patient. Multilingual (Hindi, Tamil, Telugu, Marathi, Bengali, plus English). Integrates with the doctor’s existing EMR or replaces it for solo practitioners. Pricing per doctor per month.

Why now: voice transcription in Indian languages crossed clinical utility in 2025. Indian doctors are willing buyers; international scribing tools (Abridge, Augmedix, Suki) have validated the global appetite. The Indian market needs the local-language and local-format version.

Who wins: a founder pair where one is a practising physician (the product depth is non-trivial) and the other is a strong AI or product founder.

Watch-outs: do not bolt on too many features. The best version of this is ruthlessly focused on saving doctor time. Adoption is the only metric that matters. Engagement KPIs are misleading.

13. AI for hospital revenue cycle and operations

Indian hospitals lose 15 to 25 percent of their revenue to claims rejection, denied insurance reimbursements, missed billing, and operational inefficiency. Revenue cycle management software in the US is a multi-billion-dollar category (Waystar, R1 RCM, Olive). India has the same problem with much weaker software.

Build a hospital RCM and ops platform. Claims-aware billing that pre-checks insurance policies in real time. Pre-authorisation workflows that talk to TPAs directly. Denial management with AI that pulls the exact regulatory or contractual reason and pushes for resubmission. OT and bed-management optimisation. Discharge summary generation. Pricing as a percentage of additional revenue recovered.

Why now: ABHA-driven interoperability removes a major data plumbing problem. The IRDAI claims framework standardised in 2025 reduces the integration burden. Hospitals are facing margin compression and are actively shopping.

Who wins: a B2B founder with hospital sales experience, paired with a strong product and engineering team. Selling to Indian hospitals is a known hard problem; you cannot fake the relationship layer.

Watch-outs: the sales cycle is brutal. Plan a 9 to 12 month enterprise sales cycle. Founders who promised three-month sales got embarrassed.

14. PBM and corporate health benefits

Indian employers spend roughly 25,000 crore annually on corporate health insurance and employee wellness. The category is dominated by traditional brokers (Marsh, Aon, Plum) and a handful of digital first movers (Plum, Onsurity). Nobody has built the actual PBM (pharmacy benefit manager) and care navigation layer that the US matured 30 years ago. The Indian employer is ready for it.

Build a PBM and benefits product. Integrate with the employer’s insurance broker. Negotiate pharmacy and diagnostic prices across the employee base. Steer employees to high-quality providers with transparent pricing. Manage chronic care for high-cost employees (diabetes, mental health, cardiovascular). Telehealth and second opinion. Reporting back to the employer on cost trend and outcomes.

Why now: 100 percent FDI in insurance has changed insurer behaviour around outcome-based deals. Large Indian employers (TCS, Infosys, Reliance, the major banks) are actively asking for this product after seeing US PBM models.

Who wins: a founder pair with deep insurance or PBM domain knowledge plus enterprise sales. Plum and Onsurity will compete; the wedge is depth on care navigation, not just insurance.

Watch-outs: PBMs in the US are deeply problematic businesses with serious conflicts of interest. The Indian version has the chance to do this honestly. Lead with transparency or you become the thing you should not become.

15. Precision oncology and genomic testing

Whole genome sequencing crossed below 200 dollars per genome in India in 2026. NGS is moving from rare-disease and tertiary cancer into routine practice. Hospitals like HCG raised 425 crore in FY26 specifically to expand precision oncology infrastructure. The Indian NGS market is projected to hit 1.33 billion dollars by 2033.

Build a precision oncology and genomic testing company. The product is the diagnostic and the interpretation layer combined. Tumour profiling for actionable mutations, germline testing for hereditary cancer, pharmacogenomics for chemotherapy dose optimisation, and minimal residual disease monitoring. The pricing is per-test plus a recurring layer for longitudinal monitoring. Distribution through oncologist networks at the major hospital chains.

Why now: government Biopharma SHAKTI investments cut the cost of sequencing. CDSCO clearance for several NGS panels landed in 2025 and early 2026. Oncologists are increasingly trained to act on molecular results, having historically been more conservative.

Who wins: an oncologist or molecular biologist with deep clinical credibility, paired with a strong commercial founder. The hard part is convincing oncologists to use the test and act on the result, not the sequencing itself.

Watch-outs: do not build only the diagnostic without the interpretation. A raw NGS report sent to an oncologist who cannot read it is worse than no report. The interpretation and treatment recommendation layer is the actual product.

16. Cancer care navigation

A cancer diagnosis triggers a chaotic two-to-five-year journey across oncologists, surgeons, radiation centres, chemotherapy infusions, palliative care, and increasingly genomics. Indian patients lose months to coordination failures, wrong sequencing of treatments, and second opinions that come too late. The category in the US has spawned companies like Color Health (now valued at over 1.5 billion) and Thyme Care. India has nothing equivalent.

Build a cancer care navigation company. The product is a clinical and operational layer between the patient and the fragmented system. Care coordinator (clinically trained) assigned per patient. Treatment plan review by a tumour board. Second opinion access to leading oncologists. Logistics support (travel, accommodation, financial counselling). Insurance and claims handling. Continuous symptom tracking and chemo side-effect support. Genomic and clinical trial matching where relevant.

Why now: the Indian cancer incidence is rising sharply, with 1.5 million new cases annually. Employer interest in offering this as a benefit has materialised in 2025 and 2026. Insurance companies are interested in the cost-savings story.

Who wins: an oncologist or oncology-care veteran with credibility, plus a strong consumer or B2B founder depending on go-to-market.

Watch-outs: this is heavy operational work, not a software business. The team has to be willing to be in the trenches with patients. Founders who underestimate that have failed.

17. The asset-light hospital chain

The classic 500-crore multispecialty hospital has been a poor venture investment for two decades. The new model, validated by Indian PE in the last 24 months, is the asset-light single-specialty chain. IVF (Indira IVF), cardiac (Asian Heart, KIMS), oncology (HCG), and renal (NephroPlus) have all shown the model works. The category is growing at roughly 30 percent CAGR.

Build a single-specialty hospital chain. Pick one specialty that is high volume, standardisable, and not already dominated. Strong candidates: ENT and audiology, ophthalmology surgery (cataract is at 75 million annual procedures globally), orthopaedic day-care (knee and hip), pain management, and gastroenterology. Asset-light means leased real estate, capex-efficient equipment, and protocol-driven clinical work. Replicable per-clinic unit economics within 18 to 30 months.

Why now: tier 1 and tier 2 demand is structurally there. PE money is actively chasing the model. The clinical talent supply has grown enough to staff replicable chains.

Who wins: a clinician with proven operating chops (someone who has run a hospital or clinic chain), paired with a real estate and operations partner.

Watch-outs: standardisation is the entire game. The chain that lets each clinic do things its own way collapses. The team has to be culturally comfortable with protocol-driven medicine, which is hard for some clinicians.

18. Senior and assisted living

India has 150 million people over the age of 60 and the cohort is growing faster than any other age group. Quality senior living and assisted living infrastructure is almost non-existent at scale. Antara, Athulya, and a handful of regional players have made starts; the category is wide open. The diaspora children of Indian seniors, in particular, are a high-willingness-to-pay buyer.

Build a senior and assisted living business. Three tiers can coexist. Independent living for the active 60-to-75 cohort (community, wellness, light medical). Assisted living for the 75-plus or limited-mobility cohort (more clinical, more nursing). Memory care for cognitive decline. Locations near tier 1 metros but in lower-cost peripheral pockets. Real estate light, operations heavy. The diaspora family is often the financial decision-maker.

Why now: the demographic shift is now undeniable. Diaspora willingness to pay has compounded for a decade. Tier 1 real estate in peripheral areas is acquirable at reasonable cost.

Who wins: an operator with hospitality, geriatric care, or hotel experience. Healthcare-only founders typically underestimate the residential experience side.

Watch-outs: regulatory frameworks for senior living in India are still maturing. Engage early. Trust is the entire business; one neglect or safety incident lands you on prime-time news.

19. Respiratory and allergy care

Roughly 100 million Indians live with chronic asthma, COPD, allergic rhinitis, or related respiratory conditions. Air pollution makes the situation structurally worse. The category is served by GPs, ENT specialists, and pulmonologists in fragmented practices, with no clear branded care company. This is one of the largest unmet chronic care needs in the country.

Build a respiratory and allergy care company. Diagnostic-first (allergy panels, spirometry, FeNO testing where indicated). Specialist consultation. Personalised treatment plans including environmental management, immunotherapy where appropriate, medication regimens, and digital monitoring of symptoms. Subscription-based membership for chronic patients. Bundle pediatric and adult cohorts under one brand. Distribute through schools (asthma screening), employers, and consumer marketing in polluted metros.

Why now: air quality awareness has crossed an inflection point in 2025 and 2026, with multiple Indian cities making global “worst air quality” lists routinely. Immunotherapy availability in India has expanded. Wearable spirometry is consumer-affordable.

Who wins: a pulmonologist or allergist with operating chops, paired with a strong consumer product founder.

Watch-outs: do not become a wellness brand selling air purifiers. The clinical care is the product; air purifier affiliate revenue is a distraction at best, a credibility risk at worst.

20. Wearables and remote patient monitoring

Continuous glucose monitors below 3,000 rupees. ECG patches at 5,000. Wearable BP cuffs that fit on a wrist. Connected scales. Pulse oximeters with cellular connectivity. The hardware is here. The software layer that turns this data into actual clinical decisions, in the right clinician’s hands, at the right time, is barely built in India.

Build a remote patient monitoring company. Two halves again: the consumer-facing side that handles device provisioning, data capture, and patient engagement, and the B2B side that delivers clinically actionable summaries to physicians and triggers escalations when needed. Disease-specific protocols: post-MI cardiac, diabetes, hypertension, post-surgical, pregnancy, chronic kidney disease. Insurance-paid for some cohorts, employer-paid for others, out-of-pocket for the rest.

Why now: the device costs are finally consumer-affordable. ABHA-linked clinical records make integration with the clinical workflow possible. Insurance and employer demand has materialised. CDSCO has clarified the regulatory pathway for connected health devices.

Who wins: a founder with clinical depth (cardiology or endocrinology ideally), paired with a hardware and integration engineering lead. Distribution through hospital chains, insurance partners, and direct.

Watch-outs: do not be a hardware company. The device is the entry point; the software, the analytics, and the clinical workflow are the product. Founders who fell in love with the device lost the company.

Picking one

Twenty ideas is a menu, not a strategy. Four filters for narrowing.

First, healthtech rewards depth in one place. Every successful Indian healthcare company is recognisable for one specific thing: Apollo for hospitals, Indira for IVF, Tata 1mg for pharmacy delivery, HCG for oncology. The companies that tried to be three things at once almost always lost. Pick one. Do it better than anyone else for five years before adding the second thing.

Second, the clinical co-founder is the product. Healthtech is the only category where the founder’s credibility with the medical community is sometimes more important than the product. A doctor founder builds trust ten times faster than a consumer founder. If your team does not have a clinician co-founder with real practice depth, fix that first. Hiring a medical advisor is not the same.

Third, regulation is not a barrier; it is a moat. The teams that engage with CDSCO, IRDAI, IRDAI, and the relevant medical councils early and seriously end up with a multi-year regulatory advantage. The teams that try to “move fast and apologise later” in healthcare hit walls. Indian regulators have remembered the Theranos lesson and are not patient.

Fourth, plan for ten years. Healthtech is a compounding business. Trust compounds. Clinical evidence compounds. Operating excellence compounds. Brand compounds. The teams that get this and the funds that support it patiently are the ones that win. Healthcare graveyards are full of three-year companies trying to be five-year companies.

A final note on the macro. Indian healthtech is at the rare moment where infrastructure (ABDM), capital (asset-light PE), regulation (IRDAI, CDSCO), demographics (aging), and AI capability are all aligned for the first time. Founders who saw 2013 to 2023 as proof that healthtech in India does not work are looking at the wrong data. The next decade rewards different founders, with different playbooks, building different companies. Build accordingly.

We will follow up with what to build in vertical AI SaaS next, then AI infra. If you are building one of the twenty above, or a sharper version of one, we want to hear from you.


The Kae Capital team. June 2026.

A note on intent: this is a thought piece, not an investment thesis. The ideas, categories, and companies discussed here do not necessarily reflect Kae’s active investment positioning or current portfolio. Nothing in this post should be read as a recommendation, solicitation, or commitment to invest. We write to surface ideas worth thinking about and to start conversations with builders, not to telegraph deals.

What Do Indian VCs Actually Look For at Seed Stage?

Most advice on raising venture capital is written for Silicon Valley. It tells you to show exponential growth curves, talk about network effects, reference comparable exits in the US, and demonstrate product-market fit within six months of launch.

If you apply this playbook to raising seed funding in India, you will confuse most investors and misrepresent your opportunity.

India’s seed stage is different. The markets are different, the founder profiles are different, the timelines are different, and what constitutes a compelling signal at early stage is different. After 12 years of backing founders from day one, here is what Indian VCs, including Kae Capital, are actually evaluating when you walk into the room.

1. Insight, not just opportunity

Every pitch deck in India opens with a market size slide. Most of them say the same things: India has 1.4 billion people, internet penetration is growing, the middle class is expanding. These facts are true and also completely useless to an investor evaluating your specific company.

What Indian VCs are actually looking for is whether you have a piece of insight that explains why this problem exists and why it hasn’t been solved yet.

The best founders we’ve met don’t lead with market size. They lead with an observation: something they noticed that others missed. The Zetwerk founders saw that India’s manufacturing buyers and suppliers had no trusted way to find each other outside of personal relationships, and that this single friction point was strangling the growth of the entire industrial sector. That insight, specific, structural, and India-native, is what makes a seed pitch compelling.

If your insight is “this works in the US, therefore it should work in India,” you don’t have India insight. You have a hypothesis that needs to be tested with local context.

2. Founder-market fit over founder pedigree

Credentials carry weight in early-stage investing. Prior operational experience, academic background, and track record are all useful signals. But they are proxies, not predictors.

The founders who build category-defining companies in India often have something more valuable than credentials: they have lived the problem. They were the logistics manager who couldn’t find reliable last-mile partners. They were the MSME owner who got rejected for a loan despite running a profitable business for ten years. They were the rural healthcare worker who watched patients travel four hours for a consultation that could have happened over video.

This is founder-market fit: a deep, visceral understanding of the problem that no amount of desk research can replicate. When evaluating founders at seed, Indian VCs weight this heavily. It predicts resilience, it predicts product decisions, and it predicts the ability to build trust with customers who are often skeptical of outsiders.

3. India-specific timing arguments

Every good seed investment has a timing argument: a reason why this company, built now, will work when it might not have worked two or three years ago.

In India, these timing arguments are usually structural. They relate to infrastructure that recently became available, regulation that recently changed, or behaviour that recently shifted.

Examples of strong India-specific timing arguments:

  • The Account Aggregator framework (2022) made MSME cashflow data accessible for the first time, enabling a new generation of credit products
  • The PLI schemes (2020 onwards) created pull demand for manufacturing enablement technology that didn’t exist before
  • UPI’s rural penetration (2023-24) crossed a threshold that makes Bharat-first fintech businesses viable at scale

Founders who can say “this window opened 18 months ago and we are the right team to walk through it” are the ones who have done the work.

4. Customer signals, not revenue targets

At seed stage in India, most investors are not looking for consistent revenue. They are looking for evidence that real people with real problems find your solution genuinely useful.

This can take many forms:

  • Letters of intent from customers willing to pay once the product is ready
  • Paid pilots at below-commercial pricing with design partners
  • Waitlists with unusually high conversion rates
  • Qualitative feedback from 20 customer conversations that reveals a consistent, urgent problem

What Indian VCs are evaluating here is not the number. It is the quality of the signal. Ten customers who are pulling the product out of your hands are more compelling than 100 sign-ups from a Facebook ad campaign.

The critical test: if you stopped selling and went silent for a month, would your early customers chase you down? If yes, you have a real signal. If not, you may have interest but not urgency.

5. Capital efficiency as a worldview

India’s best founders are structurally more capital efficient than their global counterparts. This is partly necessity. The Indian market rewards founders who can do more with less. But it is also a worldview.

The founders we back who go on to build durable companies share a characteristic: they don’t spend money to validate what they can learn by talking to customers. They don’t build features before they know customers will use them. They think hard about unit economics before they think about growth.

At seed stage, Indian VCs are not looking for frugality for its own sake. They are looking for evidence that a founder understands what money is for: buying learning, not buying comfort.

6. Ability to attract and retain talent in a competitive market

India’s talent market for technology has evolved dramatically. The best engineers, product managers, and business operators have many options: large tech companies, well-funded startups, global remote opportunities.

A seed-stage founder who can convince talented people to join at below-market salaries for equity they may never see is demonstrating something important: they can sell a vision, they have a reputation worth betting on, and they understand that a great company is built by great people who chose to be there.

Indian VCs watch this closely. Who is on the team? How did they get there? Would they follow this founder through hard quarters?

What Most Founders Get Wrong

Pitching the product before the problem: Indian VCs are evaluating whether the problem is real and large before they evaluate whether the solution is good. If we don’t feel the urgency of the problem in the first five minutes, the solution doesn’t matter.

Benchmarking against US companies: “We’re the Stripe of India” or “we’re building the Shopify for India” tells us you’ve done market research. It doesn’t tell us you understand what is different about the Indian market that makes your specific approach the right one.

Treating traction as a substitute for insight: Early traction is valuable. But traction without an explanation of why it’s happening, what insight led to it, what makes it defensible, is not enough at seed stage. We want to understand the mechanism, not just the number.

Not knowing who else is building in the space: Indian VCs know the ecosystem well. If you don’t know who your competitors are, or you dismiss them as irrelevant, it suggests you haven’t done the work. Know the landscape. Have a clear view on why your approach is different.

The Kae Capital Lens

At Kae, we back founders at pre-seed to pre-Series A across Consumer AI, Deeptech, B2B, Manufacturing, Fintech, Healthtech, and AI & Automation. Our initial cheque is $1.5M–2M.

What we weight most: clarity of mind, audacity, and India-specific insight. In 12 years of doing this, the founders who have built the most significant companies were not always the ones with the strongest credentials. They were the ones who understood their problem better than anyone else in the room, with the conviction to keep building when everyone else was uncertain.

If that describes you, pitch us at kae-capital.com/contact.

Frequently Asked Questions

What do Indian VCs look for at seed stage?

Indian VCs at seed stage evaluate founder-market fit (whether the founder has lived the problem), a specific India-native insight that explains the opportunity, a timing argument rooted in structural changes in the Indian market, early customer signals demonstrating genuine urgency, and capital efficiency as a demonstrated worldview.

How is raising seed funding in India different from the US?

India’s seed stage rewards founders with deep market-specific insight over those with strong credentials or US-comparable traction. Timing arguments in India are structural, relating to new government infrastructure (UPI, Account Aggregator), regulatory changes, or shifts in consumer behaviour specific to India. Generic global playbooks rarely translate directly.

What is founder-market fit and why do Indian VCs care about it?

Founder-market fit means the founder has personal, operational experience with the problem they’re solving, not just research knowledge. Indian VCs weight this because it predicts product decisions, customer trust-building, and resilience through hard periods. Many of India’s most successful founders built companies around problems they had lived personally.

Do I need revenue to raise seed funding in India?

No. Most Indian seed funds, including Kae Capital, invest before consistent revenue. What matters at seed stage is the quality of early signals: paid pilots, letters of intent, strong qualitative feedback from customer conversations, or waitlists with high conversion rates. The signal matters more than the number.

What do Indian VCs mean by a timing argument?

A timing argument explains why this business works now when it wouldn’t have worked two or three years ago. In India, strong timing arguments are usually structural: a new government infrastructure layer became available, a regulation changed, or a threshold in consumer behaviour was crossed. “The market is large and growing” is not a timing argument.

How should I pitch to an Indian VC at seed stage?

Lead with the problem and your specific insight into why it exists, not with market size. Explain the timing argument. Show early customer signals and what they reveal about urgency. Be clear on what makes your approach India-specific rather than a transplant of a global model. Then cover team, use of funds, and milestones.

How Indian Founders Should Think About Going Global

India has produced companies that are genuinely global. Zoho serves customers in 150+ countries from its headquarters in Chennai. Freshworks listed on Nasdaq in 2021 with revenue from customers across the US, Europe, and Asia. Postman, built by Indian founders, became the API platform of choice for developers worldwide before the company was widely known outside the tech community.

The question for Indian founders is no longer whether it is possible to build a global company from India. It is how, when, and through which path. Those answers are more specific than most of the advice circulating about international expansion, and they depend heavily on what kind of company you’re building.

The Two Types of Indian Companies That Go Global

The first thing to understand is that “going global” means different things depending on what you built.

Type 1: Built global from day one: These are companies where the product’s natural customer is a global buyer regardless of where the company is incorporated. Developer tools, API infrastructure, horizontal SaaS, cybersecurity products. The Indian founder who built Postman was solving a problem for every developer on the planet, not for Indian developers specifically. BrowserStack’s customer was any software team with a testing problem, anywhere. For these companies, “going global” isn’t a second act. It’s the only act. The India headquarters is an operational choice, not a market choice.

Type 2: Built for India, then expanded: These are companies that found genuine product-market fit in India first, built a real business, and then used that foundation to expand to a second geography. Freshworks is the clearest example. The company spent years building a real SMB helpdesk business in India and among global SMBs before it became a publicly traded company on Nasdaq. The global expansion was funded by real Indian revenue, not by a narrative.

The distinction matters because the strategy is different. Type 1 companies should think globally from the first line of code. Type 2 companies should build the India foundation first and expand from a position of strength, with real revenue and a clear understanding of why the product works.

When Not to Go Global

The right time to think seriously about international expansion is when the India business is generating predictable, compounding revenue and you have figured out why. Not when it “seems to be working.” When you can explain, specifically, what is driving retention, what the sales motion is, what makes customers stay and what makes them leave. That clarity is the foundation for transplanting anything internationally.

The mistake is going global because:

The India market feels crowded: If your India market feels crowded, adding a second geography adds operational complexity without solving the crowding problem. You now have two markets where you’re not winning.

You want to raise from US or global funds: Some founders add a global narrative to their pitch because they believe it’s what international investors want to hear. It sometimes works in the short term and almost always creates problems when the fund asks for international traction at Series B.

A customer asked you to: One enterprise customer in Singapore who wants your product is not a market. Following individual customers into new geographies without a broader market thesis is a common path to building a services business instead of a product company.

You’re running out of India runway: International expansion is expensive and slow. A company that goes global because it’s struggling in India is compressing two problems into one. Fix the India problem first.

The US Is Harder Than It Looks

For most Indian founders, the US is the aspirational market. It has the largest B2B software spend in the world, the highest willingness to pay, and the most liquid exit environment. These things are true.

What is also true: the US is the most competitive market in the world for almost every category of software. Customer acquisition costs are multiples of what they are in India. Enterprise sales cycles are long and require a local presence. US buyers have strong incumbent relationships with US vendors and need a compelling reason to evaluate an unknown Indian company.

The Indian companies that have succeeded in the US have generally done so through one of three specific paths:

The price wedge: Freshworks entered the US SMB helpdesk market at a price point significantly below Zendesk and offered a product that was genuinely good enough for that segment. The price delta was large enough to overcome the switching cost and the unfamiliarity risk. This works when the incumbent is overpriced for a real segment and your cost structure allows you to sustain the discount.

The diaspora bridge: Some Indian companies have used the Indian diaspora in US companies (particularly in technology and finance) as a bridge to their first enterprise accounts. This is a real entry point but a limited one. The diaspora is not a market. It’s a warm introduction to a market. If the product can’t sell to the non-diaspora US buyer, the strategy runs out quickly.

Developer-led, bottom-up: Products that developers adopt individually before companies buy them can go global without a sales team. If an Indian developer tool gets adopted by developers in the US and Europe organically, you can build US revenue before you have a US office. Postman grew this way. Chargebee got early global traction through inbound developers who found it through search. This path requires a product that has genuine technical differentiation and a category where developers have purchasing influence.

If your company doesn’t fit one of these three paths, the US is probably not your second market. That is not a failure. It is a correct diagnosis.

The Markets That Actually Work as a Second Geography

Southeast Asia

For many Indian B2B companies, Southeast Asia is the most natural second market. The economic structure is similar in important ways: large informal economies being formalized, MSME customer bases, mobile-first populations, and regulatory environments that are navigating digital transformation in real time.

Indonesia is the largest economy in the region and has a genuine tech ecosystem. Singapore functions as both a market and a regional hub; many Indian companies open a Singapore entity before they open a US entity. Vietnam, Thailand, and the Philippines are earlier-stage but growing fast.

The meaningful caveat: Southeast Asia is not one market. Indonesia, Vietnam, Thailand, Malaysia, Singapore, and the Philippines have different languages, different regulatory frameworks, different payment infrastructure, and different B2B buying behaviors. A company that treats SEA as one geography and spreads thin across all six countries will underperform a company that picks Indonesia or Singapore seriously and owns it.

Middle East

The Gulf Cooperation Council countries, particularly the UAE and Saudi Arabia, have become a serious market for Indian technology companies. Several structural factors make this work:

The Indian diaspora is large and influential in GCC business communities. There is strong government willingness to pay for technology that supports national digitization agendas. The B2B spending capacity is high relative to the competitive intensity. And the geographic and timezone proximity to India is workable in a way that the US is not.

Indian companies in fintech, healthtech, edtech, and enterprise SaaS have found real traction in the UAE as a first international market. It is not the largest market in the world, but it is a market where an Indian company can win without the structural disadvantages it faces in the US.

Africa

Africa is the most frequently discussed and least frequently executed international market for Indian companies. The infrastructure parallels are real: large unbanked populations, mobile-first economies, MSME-dominated commercial activity, and digital payments infrastructure being built in real time. The companies that have succeeded are ones that built specifically for the African market rather than transplanting an India product.

The honest assessment: Africa is a more complex entry than founders expect. Currency volatility, regulatory fragmentation across 54 countries, and thin formal distribution infrastructure make it a market that requires longer time horizons and more operational depth than a single geographic expansion usually allows. It is a better third or fourth market than a second market for most Indian companies.

What Your Product Category Tells You

The product category is the most reliable signal for whether and when global expansion makes sense.

Developer tools and API infrastructure: Global from day one. The customer is a developer. Developers are globally connected, discover tools through the same channels, and make individual-level purchasing decisions. There is no reason to sequence India first.

Horizontal SaaS (CRM, helpdesk, finance, HR): Can go global, but needs a wedge. The US market has strong incumbents in every category. The wedge is usually price, a specific underserved segment, or a genuinely superior product experience. Going to Southeast Asia or the Middle East first is often a lower-friction path to international revenue.

Vertical SaaS for India-specific industries: Almost never global early. If your product is built for Indian textile manufacturers or Indian insurance agents or Indian logistics operators, the market is India. There are analogous industries in other countries, but the product usually needs significant rework to serve them. Build the India business fully before asking whether the vertical translates.

Consumer: Rarely global early. Consumer behavior is deeply local. Language, payment methods, social context, and trust mechanisms differ enough across markets that a consumer product built for India has limited transferability. The exceptions tend to be entertainment and content categories where the Indian diaspora is a real customer base.

Fintech and lending: Highly regulated, highly local. Every market has its own licensing regime, its own credit bureau infrastructure, its own payment rails. A fintech that goes global early is usually making a licensing bet, not a product bet. Sequence carefully and get legal counsel in each jurisdiction before committing capital.

The Operational Reality

Founders who decide to expand internationally tend to underestimate what it costs in time and attention before it costs money.

The founder time problem: International expansion in the early stages is founder-led. It is not something you can delegate to a hire you haven’t made yet. The founder who decides to expand to the UAE will spend a significant fraction of their time, for 12 to 18 months, on that expansion. That time comes from somewhere. Usually it comes from the India business.

Hiring locally is not optional: You cannot sell B2B software in a new market entirely from Bengaluru. Enterprise buyers want a local contact who understands their regulatory context, speaks their language, and can be in a room with them. The first local hire in any new market is the most important hire in that geography and the hardest to get right from a distance.

The legal and compliance overhead is real: Each new jurisdiction means new entity structures, new tax obligations, new employment law, new data residency requirements, and often new product compliance requirements. A company expanding to the EU needs GDPR compliance that affects the product architecture. A fintech expanding to Singapore needs MAS engagement before it can operate. These are not afterthoughts. They take time and legal spend before the first dollar of revenue arrives.

Currency exposure compounds quickly: If your revenue is in Singapore dollars, UAE dirhams, and Indian rupees, and your costs are primarily in rupees, you have a currency position that needs active management. This is not a problem at the pilot stage. It becomes a problem at scale.

Frequently Asked Questions

When should an Indian startup think about going global? When the India business has predictable, compounding revenue and the founder can explain clearly what is driving it. For most companies, this happens at Series A or Series B, not at seed stage. The exceptions are products with genuinely global customers from the start, such as developer tools or API infrastructure.

Which is the best first international market for an Indian company? It depends on the product category. Southeast Asia (particularly Singapore and Indonesia) and the Middle East (particularly the UAE) are the most common successful first markets for Indian B2B companies. The US is the most aspirational but requires a specific wedge to work. There is no universal answer.

Can Indian companies compete with US companies in the US market? Yes, but usually through price, a specific underserved segment, or bottom-up developer adoption. Indian companies that have succeeded in the US have generally not tried to compete head-on with incumbents. They found a segment the incumbents underserved and owned it.

Should Indian founders relocate to expand internationally? Not necessarily, but they need to spend significant time in the new market in the early stages. Most successful expansions involve the founder being physically present in the new market for months, not weeks. Hiring locally is essential; remote management of a new geography from India rarely works.

The Great Indian IP Opportunity

On open-source mythology, immortal characters, and why this might be the best time in history to build worlds from India


In August 2024, a Chinese game studio called Game Science did something that nobody, not even the most optimistic gaming analysts, expected. Their debut title, Black Myth: Wukong, sold 10 million copies in three days.

Not a sequel. Not a franchise extension. A brand new IP, built by a relatively unknown team, rooted entirely in the 16th-century Chinese novel Journey to the West. By the end of its first month, it had moved over 20 million units, making it one of the fastest-selling games in history.

Because what Wukong really proved wasn’t that a Chinese studio could hang with the best in the world. It proved that a story rooted deeply in one culture’s mythology could travel globally without diluting itself. The Monkey King didn’t need to be Westernised to sell in America. He just needed to be brilliantly rendered.

I’ve been thinking about that a lot lately. Because the question it raises for India is obvious and uncomfortable: we have, conservatively, the richest mythology on the planet. We have one of the world’s largest gaming audiences. We have a film industry that moves hundreds of millions of people every year. And yet, where is our Wukong?

This piece is my attempt at an answer. Or at least, a map of where the answer might be hiding.


The unfair advantage nobody talks about

Here’s a thought experiment. Imagine you’ve built a character that people love. Not a product, not a service, a character. A person (or god, or demon, or talking mongoose) that lives in people’s heads.

Now imagine you own the rights to that character.

You can put them in a film. A game. A TV show. A theme park ride. A clothing line. A Seiko watch (more on that in a minute). You can license that character to anyone who wants to borrow the emotional connection your audience has already built with them, and charge for the privilege. This can go on for decades. Centuries, even.

That is what IP, intellectual property, does. It creates a legal monopoly over a story. And when the story is good enough, that monopoly compounds in ways that almost nothing else in business can match.

The Harry Potter universe was valued at $25 billion in 2023. But here’s the thing. J.K. Rowling finished writing the books in 2007. The films wrapped in 2011. And yet the universe keeps generating value: Hogwarts Legacy sold 24 million copies in its first year. The Cursed Child has sold over fourteen million theatre tickets across nine years. A new HBO series is in production. The flywheel doesn’t stop because the story doesn’t die. It just finds new hosts.

Pokemon is three decades old. Mario is pushing 45. The fact that Pokemon Legends: Z-A sold 5.8 million copies in its first week, for what is roughly the 25th core game in the series, tells you everything about what happens when a character achieves immortality.

This is the business case for narrative IP. Not content. Not “entertainment.” Worlds. Worlds that can live across media, across decades, across borders. And the most interesting thing about this moment in India is that we’re finally starting to build them.


A quick detour through Seoul, Tokyo, and Shanghai

Before we get to India, it’s worth understanding how other countries pulled this off. Not because they hand us a playbook, every country’s path is different, but because the pattern is instructive.

Start with South Korea. In 1997, the Asian financial crisis gutted the Korean economy. The won collapsed. The IMF stepped in with a $57 billion bailout. It was, by every measure, a national humiliation.

What happened next was counterintuitive. As part of its recovery, Korea bet heavily on cultural exports. The government lifted long-standing censorship over the entertainment industry, and the Ministry of Culture began coordinating with broadcasters, music labels, and film studios to push Korean content overseas. Satellite television was expanding across East and Southeast Asia at the same time, and K-dramas flooded into that vacuum.

The rest is history. K-pop, K-dramas, Korean cinema, Korean beauty, Korean food, the entire Hallyu (Korean Wave) can be traced, in part, to a financial crisis that forced the government to think about culture as an export engine rather than a domestic luxury.

Japan followed a different but parallel track. METI (the Ministry of Economy, Trade and Industry) led the “Cool Japan” initiative, supporting the overseas distribution of anime, manga, games, and film. Japan’s content exports hit ¥4.7 trillion by 2023. That figure includes everything from One Piece to Final Fantasy to Studio Ghibli. Speaking of Ghibli, they collaborate with Seiko almost every two years to release limited-edition watches under the Presage collection. Those watches are impossibly hard to get. I know because they’re a dream of mine. But what they really represent is two beloved, proudly Japanese institutions finding each other, and the world lining up to buy the result.

And then there’s China. Both Ne Zha (2019) and Ne Zha 2 (2025) broke records. Ne Zha 2 became the highest-grossing animated film of all time, the first to cross $2 billion at the global box office. Wukong did the same for gaming.

In all three cases, the sequence was similar. The government creates the conditions. Industry builds the stories. The stories reshape how the world perceives the country. Ask the average 25-year-old in Berlin or São Paulo what they know about South Korea and you won’t hear about the IMF bailout. You’ll hear about Squid Games.

Which brings us home.


India has been here before

The funny thing is, India isn’t starting from zero. We’re starting from a position most countries would envy, we just haven’t fully recognised it yet.

Go back to 1967. A man named Anant Pai is sitting in the audience of a quiz show and watches Indian children correctly answer questions about Greek mythology while fumbling on questions about the Ramayana and Mahabharata. He’s so bothered by this that he creates Amar Chitra Katha, a comic book series that would eventually span over 600 titles in 20 languages, sell over 5 million copies annually, and become the way an entire generation of Indians first encountered their own mythological heritage visually.

(Credits: BBC)

That was world-building. It happened in India. In 1967.

Tinkle and Suppandi built fandoms that persisted across generations. Chhota Bheem, love it or hate it, has aired for over a decade and reached audiences in nearly 190 countries. The Amul girl has been doing topical commentary since 1966, which is basically the world’s longest-running meme. These are Indian IPs with real staying power.

(Amul’s comic on the Coldplay concert controversy)

And yet, for decades, India’s relationship with the global narrative economy was defined by something else entirely: service work.

DNEG, formerly Double Negative, has won 8 Academy Awards for Best Visual Effects. Their work spans Inception, Interstellar, Blade Runner 2049, Tenet, Dune. After a $200 million investment from Abu Dhabi in 2024, DNEG was valued at over $2 billion. Indian talent powered some of the most iconic visual moments in cinema history.

But here’s the catch. DNEG doesn’t own the IP. Neither do the hundreds of Indian studios doing asset development, QA, and post-production for Hollywood and global gaming studios. Even today, an estimated 85-90% of India’s animation and VFX revenue comes from services, with only 10-15% tied to owned IP.

We’ve been building other people’s worlds. The shift that’s happening now, slowly, unevenly, but unmistakably, is that Indians are starting to build their own.


The open-source advantage

Here’s where things get interesting.

Indian mythology is, in effect, open-source. The Ramayana, the Mahabharata, the Puranas, the Jataka tales, no single entity owns them. Anyone can use them. Anyone can reinterpret them.

That’s not a weakness. It’s possibly our greatest asset.

Think about what Rick Riordan did with Greek mythology. Percy Jackson & the Olympians is built on stories that are thousands of years old and belong to no one. Riordan just added a layer, modern kids, a summer camp, a fresh voice, and the result was over 180 million books sold, film adaptations, and a Disney+ series that clocked over 110 million hours streamed in its first season.

He’s since expanded to Hindu mythology through Roshani Chokshi’s Aru Shah series under his imprint. Let that sink in for a moment. An American publisher is building commercially successful universes on top of Indian mythology, because the source material is that rich.

(The adventures of Aru Shah under Rick Riordan’s imprint)

Enola Holmes did something similar with Sherlock, a public domain character reimagined through a new lens. Hades, the video game, took Greek myths and reinterpreted them with contemporary sensibilities to massive critical and commercial success.

The lesson is simple: reverence doesn’t require repetition. Reinvention is not disrespect, it’s how stories stay alive.

And this is exactly what’s starting to happen in India. Chitra Banerjee Divakaruni’s The Palace of Illusions retold the Mahabharata through Draupadi’s eyes. The Forest of Enchantments reframed the Ramayana through Sita’s inner life. These weren’t gimmicks, they were perspective shifts that unlocked entirely new audiences.

(It would be impossible to mention this point and not give a shout-out to Chitra Banerjee Divakaruni’s incredible books)

At Bengaluru Comic Con 2025, I stumbled across a booth for Studio Jatayu. Their concept? Hindu gods attending school together. It sounds absurd until you remember that Percy Jackson is literally “Greek gods, but their kids go to summer camp.” The format isn’t new. The mythology is.

The Lokah universe crossed INR 300 crore at the global box office, becoming the highest-grossing Malayalam film ever. Mahavatar Narsimha, built around one of the lesser-known avatars of Vishnu, also crossed INR 300 crore, and announced an entire cinematic universe from day one.

We’re no longer asking “can Indian mythology travel?” Kantara answered that question. A film steeped in Tulu folk traditions, Bhoota Kola rituals, and a hyper-local identity that made zero concessions to mainstream palatability, it crossed INR 400 crore globally. Not because it was “accessible.” Because it was specific. Specificity, it turns out, is what travels.

The better question now is: how far can this go, and what forms can it take? Because once an IP proves it can move audiences, it starts attracting something else entirely: brand capital. The same flywheel that turns Pokemon into a lunchbox empire or Marvel into a sneaker collaboration pipeline is available to any Indian IP that earns enough cultural gravity. We’re not there yet. But the trajectory is right.


Vibe is the moat

While working on this piece, I had a conversation with Varun Mayya, the person behind Aeos Labs, whose game Unleash the Avatar pulled something off that still blows my mind.

Their trailer didn’t just do well in India. It went big in China. On IGN China, it pulled tens of thousands of comments. On Bilibili, China’s answer to YouTube, and the platform where Wukong built its initial fanbase, engagement was within striking distance of GTA VI trailers. For a debut title from an Indian studio, rooted in Indian mythology, that is almost absurd.

Varun’s take on why it worked reframed how I think about this whole space. He talked about how game economics are changing: asset scanning, AI-assisted workflows, and better tools mean small teams can build large worlds at a fraction of what it cost even five years ago. Aeos Labs scanned the entire town of Chanderi to build hyper-real environments. The budget ceiling that once kept Indian studios out of AAA territory is dropping fast.

But the insight that stayed with me wasn’t about technology. It was about taste.

“Story is often the smallest risk,” Varun said. “International markets are saturated with narratives. What differentiates is vibe.”

And then he dropped a line I haven’t been able to stop thinking about:

“There are fewer than 20 people who have actually studied why Dangal worked so well in China.”

That sent me down a rabbit hole.

Dangal grossed over $200 million in China alone, more than it made in India. Aamir Khan became so beloved that Chinese fans gave him the nickname “Mi Shu” (Uncle Aamir). But the why goes deeper than star power. Khan’s films acted as a kind of mirror for a Chinese audience grappling with the pressures of the Gaokao education system, rapid modernisation, shifting gender roles, and patriarchal traditions. The emotional grammar of Bollywood, the big feelings, the dramatic stakes, the hero who fights the system, resonated on a frequency that Hollywood couldn’t reach.

Varun’s claim, and I think he’s right, is that Bollywood’s over-the-top emotional language is uniquely suited to games. It’s expressive, dramatic, stylised. The hero saves the day. In fact, Bollywood-style character mods already appear in games like Wukong and Sekiro: Shadows Die Twice. India doesn’t have an equivalent of Chinese wuxia, but Bollywood itself fills that gap.

There’s a larger point here. India’s competitive advantage in the global IP race won’t be technical sophistication (we’ll get there, but we’re not there yet). It’ll be emotional sophistication. We’re a country that produces stories drenched in feeling, melodrama, sacrifice, duty, love, betrayal, and it turns out the world has an appetite for exactly that, if the execution is right.


The cringe tax (and how to avoid paying it)

That last bit, “if the execution is right”, is the whole ballgame.

Because here’s the uncomfortable truth: Indian IP has a credibility problem. Not because the stories are bad. Because too many attempts at bringing them to screen have been.

The contrast between Baahubali and Brahmastra makes this painfully clear. Baahubali worked because its world, tone, and writing were internally consistent and confident. It didn’t apologise for being Indian. It didn’t try to be a Marvel film. It was its own thing, done with conviction.

Brahmastra, despite enormous scale and ambition, stumbled on script and dialogue. Adipurush was worse. The budgets were there. The intent was there. What was missing was craft.

Half-hearted attempts don’t just fail locally, they actively damage the credibility of Indian IP globally. If you’re a distributor in Southeast Asia or a platform buyer in North America, every bad Indian fantasy film makes you less likely to bet on the next one. Cringe is a tax no IP can afford to pay.

There’s also a sensitivity dimension that anyone working with Indian mythology needs to understand. In the early 1990s, a Japanese artist created an animated adaptation of the Ramayana. The backlash was severe enough to shut down similar cross-cultural projects for years. That film has since been reconsidered and even adored, but at the time, the hostile reception was real.

(A film I hold dear in my heart, the Japanese animated adaptation of the Ramayana has a fascinating history, from eventually overcoming its hostile reception to achieving widespread adoration decades later.)

Cultural sensitivity in India has eased over time, but it hasn’t disappeared. Supernatural faced heat for its portrayal of Hindu gods. Episodes of Record of Ragnarok were banned. The lesson isn’t that these stories shouldn’t be told. It’s that they must be told with care. Intent alone doesn’t cut it. Execution matters. Respect matters. And “respect” doesn’t mean timidity, it means knowing the source material well enough to reinvent it without cheapening it.


The worlds being built right now and the blueprint (if there is one)

Let me show you what “right” looks like in practice, because it’s already happening.

Gaming is the sharpest edge. India is seeing a wave of games that want to compete globally, not just culturally but technically. Nodding Head Games’ Raji: An Ancient Epic got critical success and international recognition, and they’ve since announced Raji: Kaliyuga. Tara Gaming is developing Age of Bharat with Amish Tripathi and Amitabh Bachchan. Ayelet Studio is building Son of Thanjai, set in 11th-century South India. These projects aren’t equals to God of War yet. But the fact that they now have the potential to compete is itself a massive shift.

Transmedia-first universes are emerging too. One project I love is Maya Universe, created by Zain Memon (who made the breakout board game Shasn) and filmmaker Anand Gandhi. Maya is a neo-mythological world planned from day one across books, board games, potential video games, and future screen adaptations. Unlike many Indian projects that rely on domestic financing, Maya raised over $420,000 on Kickstarter, most of it from backers in the United States. That’s the universe coming first, and the formats following. World-building as infrastructure, not content. That instinct is what separates one-off successes from durable IP.

Story factories are becoming IP factories. A conversation with Ranjeet from Pratilipi crystallised this for me. He talked about how IP creation that once took 10-15 years can now happen in weeks. A single story can begin as text on Pratilipi, test its resonance, and rapidly evolve into audio, video, or screen adaptations. Shaitan Se Samjhauta, which started as a story on their platform, crossed 50 million views on YouTube as a TV series. That pipeline, text to audio to video to franchise, is the kind of plumbing that builds durable IP at scale.

Merchandising is wide open. As someone who collects LEGO sets, I can tell you: the appeal isn’t the bricks. It’s the nostalgia and emotional connection to IPs like Indiana Jones or Hocus Pocus. Adults aren’t buying toys, they’re buying memory. Indian IPs have barely scratched this surface. BWO and its subsidiary A47, which produces everything from official ISRO merchandise to cultural collectibles, shows what’s possible. If Montblanc can collaborate with Naruto, cross-cultural IP partnerships aren’t experimental anymore, they’re proven.

And then there are the collabs happening right here. Comet, an Indian sneaker brand, collaborated with Naru, a ramen fine-dining restaurant in Bangalore. The sneaker sold out almost instantly. Twenty years ago, a sneaker brand teaming up with a ramen restaurant would have sounded like a fever dream. Today, it’s what happens when two brands figure out they share a cultural vocabulary, and their audiences do too.

(I’ve been to Naru twice, by the way. It’s actually pretty good. You should give it a shot.)


For all the momentum in mythology-based IP, there are entire genres of Indian storytelling that remain almost completely unexplored.

  • Consider India’s relationship with cricket. Japan turned volleyball into Haikyuu!! and football into Blue Lock, animated series with massive global followings. India has the world’s most emotionally invested cricket audience and… nothing comparable. Where is the larger-than-life animated cricket universe?
  • Indian science fiction barely exists as a commercial genre, despite the source material being extraordinary. China’s Three-Body Problem drew on Chinese philosophy and history while engaging with modern physics, and became a global phenomenon. Indian philosophy and cosmology, the concept of cyclical time in the Vedas, the multiverse in Jain cosmology, the mathematical traditions of ancient India, could be the backbone of an equally compelling sci-fi universe.
  • Horror and folklore? India has millennia of material, churails, pishachas, vetala tales, and a massive domestic appetite for the genre. The enduring success of CID, including its resurgence on streaming platforms, proves that appetite for Indian crime and thriller narratives is durable.
  • What’s stopping a locally rooted Indiana Jones-style adventure about lost Harappan cities or forgotten manuscripts from Nalanda? What’s stopping a Byomkesh Bakshi 2.0 from emerging as a modern franchise?

I don’t think there’s a prescriptive playbook here. But there are a few observations that feel hard to argue with.

The first is that the next Disney won’t look like a movie studio. It might look like Pratilipi. It might look like Aeos Labs. It might be a platform that doesn’t create stories at all, but builds distribution and community infrastructure for the people who do. India has an abundance of storytellers. It also has an abundance of software engineers. What’s emerging now is the connective tissue between the two.

The second is that AI is lowering the barrier to experimentation in ways that matter. Not as a replacement for human creativity, god, no, but as a tool for prototyping, testing aesthetics, and reducing iteration cycles. We’re seeing AI-augmented Mahabharata series on JioHotstar, Instagram creators building speculative worlds using AI-generated visuals, and storytellers using AI to extend their reach without losing their voice. The cost of asking “what if?” has never been lower.

The third, and maybe the most important, is that what makes stories travel isn’t technology or budgets. It’s an emotion. The particular ache of wanting to make your family proud while also wanting to be free. The comedy of a joint family. The fury of injustice. India produces these feelings in industrial quantities. We also produce the people capable of turning them into films, games, comics, and platforms. What we lacked, for a long time, was the will to experiment. That’s the part that’s changing.

The government seems to recognise this too. The WAVES summit, the national AVGC-XR policy, state-level initiatives in Karnataka and Maharashtra, the new Indian Institute of Creative Technologies in Mumbai, the institutional scaffolding is being erected. Whether it’s enough, and whether it’s fast enough, remains to be seen. But the direction of travel is clear.

The economic fundamentals reinforce this case. India’s media and entertainment sector is projected to cross USD 100 billion by 2030, driven by digital consumption and creative-tech growth. The country enjoys a 40–60 percent cost advantage in animation and VFX services, supported by a large skilled workforce. Nearly 25 percent of viewership for Indian OTT content already comes from overseas audiences, underscoring that Indian stories are no longer consumed only at home.

Institutionally, this shift is becoming tangible. In 2024, the Indian Institute of Creative Technologies (IICT) was unveiled in Mumbai as the National Centre of Excellence for AVGC-XR, bringing academia, industry, and government onto a single platform. At the state level, momentum is accelerating. Karnataka implemented one of India’s first dedicated AVGC-XR policies (2024–2029), focused on skilling, incubation, and global competitiveness. Maharashtra followed with its AVGC-XR Policy 2025, backed by a INR 3,268 crore financial plan and a roadmap extending to 2050, aimed at investment attraction, job creation, and production-cluster development.

(Still from WAVES 2025 | 1-4 May 2025 | Jio World Centre, Mumbai)

Most of these bets won’t pay off. That’s fine. The point isn’t that every Indian IP will become the next Pokemon. The point is that for the first time, the conditions exist for it to happen: the tools, the talent, a massive domestic market, growing global appetite, and platforms that didn’t exist five years ago.

This is India’s narrative gold rush. And if you’re a creator, a builder, a founder, or just someone who grew up reading Amar Chitra Katha and always wished those worlds were bigger, the door hasn’t just opened. It’s been kicked off its hinges.

How to Build for Bharat

Most founders building “for India” are building for 10 cities.

That’s fine. Bengaluru, Mumbai, Delhi, Hyderabad, Pune, Chennai, and the other metros are real, high-GDP, high-density markets. But they are not Bharat. And Bharat, India’s Tier 2, Tier 3, and district-level economy, is where the next generation of category-defining companies will be built.

The challenge: almost all the advice circulating about building for Bharat is wrong, borrowed from consumer internet frameworks, or written by people who have never sold to a shopkeeper in Surat.

This is a practical guide. What actually works when you’re building for India beyond the metros.

The Core Mistake: Treating Bharat as a “Cheaper India”

The most common error founders make is treating Tier 2/3 India as a price-compressed version of metro India. Same product, lower price point, different geography.

This doesn’t work because Bharat is not structurally cheaper metro India. It has fundamentally different:

  • Trust mechanisms: Business in Bharat runs on personal relationships and community reputation, not contracts and institutional credibility.
  • Language: Your product may need to work in Hindi, Marathi, Tamil, Gujarati, Kannada, or Odia. English-first is a silent filter that eliminates most of your potential market.
  • Distribution: The last-mile infrastructure that exists in metros (logistics networks, payments rails, formal retail) is thin or absent in many Tier 3 geographies.
  • Decision-making cycles: A kirana owner in Nagpur doesn’t make a buying decision the way a procurement manager in a Bengaluru SaaS company does. The cycle is slower, more relational, and community-validated.

Founders who treat these as minor surface-level tweaks (translate the app, lower the price) fail. Founders who redesign the product around these structural realities often find markets an order of magnitude larger than they expected.

What the Bharat Opportunity Actually Looks Like

Before the tactical section, let’s be specific about what’s at stake.

MSMEs: India has approximately 63 million micro, small, and medium enterprises. Roughly 80% of them are outside the top 10 metros. Most are in manufacturing, trading, services, and agriculture. Most do not have a bank account actively used for business, a GST-compliant invoice process that works smoothly, or digital inventory management. Many have a WhatsApp group for procurement.

The kirana economy: India’s 12 million kirana stores serve as the primary retail infrastructure for the country. Roughly 90% are outside metros. They collectively move ₹30–40 lakh crore in goods annually. Their primary logistics partner is still the local wholesale market and the trusted supplier who visits on a fixed day.

The working capital gap: India’s formal MSME credit gap is estimated at ₹20–25 lakh crore. Most of this gap is in non-metro geographies where formal credit assessment infrastructure (bureau scores, audited financials, property documentation) doesn’t apply to the majority of business owners.

These are not “emerging” markets in the sense that they’re small today. They are the majority of Indian economic activity, operating outside the infrastructure that startups have built so far.

Five Principles for Building in Bharat

1. Trust before transaction

In metro India, a founder can sell to a business if the product works and the price is right. In Bharat, a business owner needs to trust you before they’ll try your product. That trust is earned through community, not through features.

In practice this means:

Hire from the geography. Your first sales rep in Surat should be from Surat, ideally with existing relationships in the trading community you’re targeting. A salesperson from Bengaluru who doesn’t speak Gujarati will struggle with leads that a local person converts in one meeting.

Use reference customers aggressively. In Bharat markets, one happy customer in a community can unlock 20 more through word of mouth. Your CAC is effectively zero for the second 20 customers if the first one talks. Design your onboarding to make customers feel like they want to tell others.

Be present physically, at least initially. The founders who figure out Bharat markets typically do it by spending time there: not visiting from Bengaluru, but being in Surat, Indore, Coimbatore, or Rajkot for weeks at a time. The insight you get from sitting in a wholesale market for two days is not available from any secondary research.

2. Design for spoken language, not written English

The default startup assumption is that users will read your interface. In Bharat, many business owners read slowly or not at all in English. Some read slowly in their own language. Voice-first or WhatsApp-first interfaces are not compromises. They are the right interface for this market.

Companies that got this right early:

  • Udaan (B2B commerce): built around a mobile-first, Hindi-compatible flow for the kirana-to-distributor transaction. Made the procurement experience feel like a WhatsApp conversation, not a B2B portal.
  • BharatPe (merchant payments): early success in non-metro markets specifically because onboarding was designed for merchants who had never used a smartphone for business before.
  • LocoNav (fleet management): built for truck fleet operators, many of whom are semi-literate. Designed alerts and notifications in local languages, used voice assistants.

Practical test: Have someone in your target geography use your product without any help. Watch what confuses them. If an English sentence is creating a 10-second pause, it’s a drop-off point. Remove it.

3. Distribution is the product in Bharat

In metro India, good products often find distribution through digital channels: app stores, Google ads, LinkedIn outreach. In Bharat, the product’s distribution model is as important as the product itself. Often more.

The most effective Bharat distribution channels:

Trade associations and industry bodies. If you’re selling to textile manufacturers in Surat, the Surat Textile Association can unlock your entire market or shut you out. Understanding the political and social structure of the trade association is as important as understanding the product-market fit.

Franchise and agent networks. Many successful Bharat businesses distribute through a network of local agents who earn commissions and handle the local relationship. The technology company becomes the platform; the agents are the distribution. This works for insurance (Digit, Acko), lending (IndiaLends, CreditBee), and increasingly for B2B commerce.

FOCO (Franchise-Owned, Company-Operated) or FOFO (Franchise-Owned, Franchise-Operated) models. For physical-world companies, owning your own outlets in Tier 2/3 markets burns capital quickly. Franchise structures transfer the local knowledge problem to people who actually have it.

The payment distribution insight: PhonePe and Paytm didn’t win in Bharat by being better apps. They won by building dense agent networks that activated merchants in person, handled disputes locally, and created a physical presence that digital-only competitors couldn’t replicate.

4. Working capital is the product

In Bharat, the business opportunity is often not the software or the logistics or the marketplace. It’s the credit.

Most Bharat business owners operate on thin working capital: they pay suppliers before they collect from buyers, they need to carry inventory for weeks, and they have limited access to formal credit when they need to expand. The company that solves their credit problem earns a relationship that is nearly impossible to displace.

Founders building in Bharat should ask: can working capital be part of our product?

  • B2B marketplace + embedded credit (buy inventory from us, pay in 30 days) = lower buyer acquisition cost and higher retention
  • SaaS for kirana + credit against verified transaction data = faster product adoption and a lending business
  • Logistics platform + advance payment to truckers = solved the #1 pain point for fleet operators before it’s a product at all

The account aggregator framework (launched 2022) makes business cashflow data from bank accounts shareable with consent. This data can underwrite Bharat businesses in ways that traditional credit assessment cannot. Founders who build consent-based data flows into their products early create a lending capability that is 3–4 years ahead of competitors who try to add it later.

5. Accept that your metrics will look different

Most startup advice assumes a certain metrics model: acquire users quickly, achieve high engagement, scale aggressively, raise the next round on growth rates.

Bharat businesses often look worse on these metrics initially, and better on the fundamentals that matter.

Lower NPS volatility. When you earn trust in a community, churn is very low. A kirana owner who has been using your platform for six months and trusts you doesn’t leave for a competitor who dropped their price by 5%.

Slower viral loops. Word of mouth in Bharat is slower than social media virality. But when a community adopts your product, it adopts it collectively. The adoption curve is S-shaped and steep once it tips, rather than linear.

Higher servicing costs early. The first hundred customers in a Tier 2 market will require more hand-holding than a cohort of Bengaluru SMEs. Accept this as market development investment, not as an inefficiency. The economics improve dramatically at scale.

Longer sales cycles. Bharat B2B sales cycles can be 2–3x longer than metro equivalents. This is not negotiating behavior. It’s relationship development. A founder who tries to compress this cycle by applying pressure will lose the sale.

The Geography Selection Problem

Not all Tier 2 cities are the same. There are meaningful structural differences between, say, Surat (textiles, diamond trade, dense MSME base), Coimbatore (engineering, manufacturing, strong industrial ecosystem), and Guwahati (entry point for Northeast India, different cultural context, different regulatory landscape).

Before choosing a Bharat geography to enter, understand:

  1. What is the dominant trade / industry in this geography? Your product should have an obvious application to the local economy.
  2. What is the existing digital infrastructure? Some Tier 2 markets have strong smartphone penetration and 4G coverage; others don’t. This affects your product assumptions.
  3. Who are the community influencers? In every market, there are 5–10 people whose endorsement matters disproportionately. Find them before you enter.
  4. What VC-backed company has already been here before you? If someone tried and failed in this market, understand why before you replicate their mistake.

The Founder Profile That Succeeds in Bharat

Kae’s portfolio has taught us something specific about the founder type that succeeds in Bharat markets.

They typically have personal exposure to the problem — they grew up in or near the community they’re serving, had a family member in the trade, or spent 2–3 years working in the industry before starting. They have an insider’s understanding of the informal rules that govern the market.

They are not deterred by the absence of comparable metrics. When a metro VC says “show me your DAU” and the founder says “my product is used once a week but it’s embedded in every workflow and churn is 3% annually,” the founder needs to be able to explain why that’s a better business than high-DAU with 30% annual churn. Bharat founders who internalize this can raise from the right investors and ignore the wrong ones.

They speak the language — literally. Not necessarily every language of every geography, but they have enough cultural proximity that their team is credible in the market. A founder who has to translate every customer conversation through an intermediary is at a structural disadvantage.

What Kae Looks For in Bharat-Focused Founders

We have backed companies operating in Bharat markets across commerce, manufacturing, healthtech, and logistics. What distinguishes the founders we back:

They have firsthand insight, not secondhand research. They know the market because they were inside it, not because they read a McKinsey report on India’s Tier 2 economy.

They have an early customer signal. Not necessarily revenue — but evidence that the community finds the problem interesting. A letter of intent from a trade association. A paid pilot with 10 kirana owners. A design partner conversation with a manufacturer in Coimbatore. Zero signal is hard to underwrite.

They have a specific answer to “why this geography first?” The best Bharat founders don’t start everywhere. They start in one community, one city, one industry cluster — and they own it before expanding. The ones who try to be pan-India on day one typically fail to be anywhere.

They understand the working capital dimension. Even if they’re not building a lending product, they’ve thought about how credit fits into their market. Because in Bharat, it almost always does.

A Note on Why This Matters Now

The digitization of Bharat is not a 10-year thesis. It’s a current-state transition.

For the first time, there is a generation of founders who grew up in Tier 2 and Tier 3 India, got engineering or MBA educations, worked in a metro or abroad for a few years, and came back. They understand both worlds. They know how a kirana owner in Nagpur thinks and they can write a software product spec. This cohort didn’t exist at scale in 2015. It does now.

Alongside them: UPI has already changed the trust infrastructure for payments at the base of the pyramid. A merchant in Rajkot who did zero digital transactions in 2019 now processes hundreds of UPI payments a month. That transaction history is an identity. It’s an underwriting signal. And it’s a relationship that someone is going to build a product on top of.

GST digitization has created a paper trail for MSME businesses that didn’t exist before. Roughly 15 million businesses now have a formal transaction record through GST filings. That data is the foundation for credit, inventory intelligence, and procurement optimization products that couldn’t have been built on an informal economy. The data became real in 2022. The products built on it are being built now.

And the first cycle of Bharat companies has closed the loop for investors. Porter, Zetwerk, Jumbotail, and others have proven the category exists and that Bharat businesses pay for real solutions to real problems. The investor skepticism that killed promising Bharat pitches in 2016 and 2017 is lower now. The bar to raise a seed round for a Bharat-focused company has dropped. The bar to build the actual product has not changed. That gap is the opportunity.

Frequently Asked Questions

What is “Bharat” in the Indian startup context?

Bharat refers to India beyond the major metropolitan cities: Tier 2 (cities with populations of 1–5 million), Tier 3 (smaller cities and district headquarters), and semi-urban/rural India. It represents the majority of India’s population and economic activity, but has historically been underserved by venture-backed technology companies.

Why do most startups fail to build for Bharat successfully?

The most common failure mode is applying a metro India or US product playbook to a structurally different market. Bharat requires a different distribution model, language-first product design, trust-based sales, and often an embedded working capital component. Founders who treat it as a cheap version of metro India fail; founders who redesign around Bharat’s actual structure succeed.

Does Kae Capital invest in Bharat-focused startups?

Yes. Many of Kae’s investments address markets that are structurally tied to Bharat — MSME commerce, manufacturing, B2B logistics, fintech for informal businesses. Kae specifically looks for founders with India-specific insight, which often means insight into how the non-metro economy actually works.

Is there venture capital available for Bharat-focused companies?

Yes, but it requires framing the opportunity correctly for investors. Bharat metrics look different from metro metrics: slower acquisition, lower churn, longer sales cycles. Founders need to explain why the fundamentals are stronger, not try to make Bharat metrics look like Bengaluru metrics. Kae, Blume Ventures, Stellaris, and India Quotient are among the funds with specific Bharat exposure.

What sectors work well in Bharat markets?

B2B commerce and supply chain, MSME credit and fintech, agritech, small manufacturer SaaS, logistics and fleet management, health infrastructure, and rural insurance. The common thread is that they address infrastructure gaps — the things that exist in metros but don’t exist at the same quality in smaller geographies.

Kae Capital has been the first institutional investor in India since 2012. Portfolio companies include Porter, Zetwerk, Tata 1mg, HealthKart, Myntra, and 90+ others. $7.7B+ portfolio value. Pitch at kae-capital.com.

Did You Buy That, Or Were You Sold It?

Most D2C founders in India can tell some version of this story. They log into Meesho on a Monday morning to find that the bestselling SKU last quarter is not the one they had been pushing ads behind. They didn’t know it was the bestseller until the dashboard told them. The algorithm had picked it up, decided it looked like the kind of thing a particular cohort of buyers would respond to, and pushed it into millions of feeds. The founder, increasingly, is a passenger on their own business.

That story is the entire shift, in one anecdote. The world is moving quickly from one where humans decide what they want and machines help them find it, to one where machines decide what we want and we cheerfully oblige. If you are building anything that ends in a transaction, this is the single most important trend to internalize this decade.

The shelf is gone

For most of commercial history, consumption had a clean architecture. There was a need (or a manufactured one), a category, a set of brands inside it, and a shelf, real or digital, where you went to compare. You walked into a Big Bazaar, or you typed “running shoes” into Amazon, or you asked a cousin. The mental motion was: I want X, who makes the best X.

That motion is dying. Watch any heavy user of Instagram, Meesho, or YouTube Shorts today. They are not searching. They are scrolling. Things appear. Some of those things get bought. The category, the comparison, the intent, all of it has been hollowed out. The feed is the shelf, the recommendation is the catalogue, and the algorithm is the salesperson who happens to know what the buyer has been doing for the last three years.

The numbers tell the same story. By Bain’s estimates, India will have 600 to 650 million short-form video consumers in 2025, with active users spending close to an hour a day inside these feeds. Globally, the strongest proof point is TikTok Shop, which is not available in India but is the most useful data point we have for where feed-driven commerce is heading. Its global GMV went from roughly $0.9B in 2021 to $33.2B in 2024 and is on track for around $66B in 2025. That is a 70x jump in four years on a platform that, by design, you cannot search the way you search Amazon. The fastest-growing surface for commerce in the world is one with no shelf at all.

This sounds like a small UX change. It is not. It is a transfer of power.

Intent is the thing being eaten

In the search world, intent was customer-side. The user knew what they wanted, and the platform helped match them to it. Google’s whole business is monetizing intent that already exists. Brands paid to be the first answer when someone walked up to the counter.

In the feed world, intent is platform-side. The platform decides what the user should want today, mostly based on what people who look statistically like them wanted yesterday. The user does not bring intent to the screen. The screen manufactures it. This is why so many of the products people now buy are ones they did not know existed twenty minutes earlier, and why nobody can remember a week later what made them click.

The implication for brand building is severe. The old playbook was about owning a piece of mental real estate, so that when intent arrived, you were the first answer. Brands spent a decade making “cola” mean Coke. But if intent itself is being generated inside an algorithm that has no memory of your TV spots, no respect for your shelf placement, and no opinion on your equity, you are not really building a brand anymore. You are training a recommender. The job has changed and most CMOs are still doing the old one.

Taste in the time of feeds

The cultural side of this is stranger than the commercial side. Algorithms were supposed to give everyone a personalized world. In practice, they have made taste both narrower and weirder at the same time.

Narrower because most feeds optimize for engagement, which is a small slice of what humans actually value. Weirder because the feedback loops compound at insane speed. A small group of people develops a niche interest, the algorithm notices, amplifies, mutates, and a few quarters later there is a multi-hundred-million-dollar brand built around something that did not exist a year earlier.

The clearest example is Stanley. The Stanley Quencher cup did $73M in 2019, $94M in 2020, $194M in 2021, $402M in 2022, and around $750M in 2023, largely on the back of TikTok virality. Nobody set out to want a $45 stainless steel cup. The want was assembled, downstream, by a feed. The same playbook is now visible in Indian D2C, where Reels-led brands in skincare, fragrance, snacks, and home goods are scaling from zero to meaningful revenue in twelve to eighteen months, without ever doing a conventional brand campaign.

The more unsettling part is what this is doing to creators, not just to consumers. Listen to almost any chart-topping song today. The hook arrives in the first few seconds. The intro is gone. The chorus is engineered to be loopable in a fifteen-second Reel. This is not an accident. It is what happens when artists, consciously or not, start writing for the algorithm instead of the song. An artist makes a good track. The algorithm picks it up. The artist (and the label) studies what worked, the cut points, the tempo, the lyric that became a meme. The next track is built backward from those signals. Other artists copy what they see working. The recommender, having learned from what it amplified, rewards more of the same. The loop closes. Art drifts downstream of distribution.

The same logic now governs Reels-led D2C. Founders A/B test thumbnails, hook lengths, and product angles not because their customers asked for any of it, but because the algorithm tells them which variant got watched to the end. The customer’s preference and the algorithm’s preference are no longer easy to tell apart, and that is the point.

The Indian wrinkle

The Indian version of this shift has its own shape, and at Kae we think it is the more interesting one.

First, voice and video unlock a different consumer. The buyer in Indore or Hubli or Guwahati was never going to type “lightweight breathable kurta for summer” into a search bar. But they will absolutely watch a thirty-second reel of someone showing them one, and click the link in the bio. Meesho today crosses 250M users, with roughly 87% of them coming from outside the top 8 cities. That is not a different funnel for the same customer. It is a different customer who only became reachable because the funnel itself changed.

Second, the platforms with the strongest feeds, Meesho, Instagram, YouTube, Sharechat, do not yet look like the platforms with the strongest carts. The cart is still concentrated on Amazon and Flipkart, where the buyer arrives with intent. Whoever closes the loop between feed-grade discovery and Amazon-grade fulfillment in India builds something enormous. We think the market is one or two product cycles away from someone doing it well.

Third, the brands that win in this environment will not look like the brands that won the last one. They will be faster, weirder, less attached to category orthodoxy, and built by founders who understand that their real competition is not the brand next to them on the shelf, it is the eight seconds before the user scrolls past.

The agent layer is coming

If algorithmic feeds are the present, AI agents are the very near future. Within a couple of years, a meaningful share of routine purchases will be made by software acting on a user’s behalf. Reorders of groceries, replenishment of consumables, travel bookings, basic insurance, utility switches.

The forecasts here are aggressive. Gartner now projects that by 2028, roughly a third of digital user experiences will shift from native apps to agentic front ends, and that on the B2B side, around 90% of buying will be AI-agent intermediated, pushing more than $15 trillion of spend through agent exchanges. Even if you take a heavy discount on those numbers, the direction is unambiguous.

The agent will not scroll, it will not be charmed by a reel, and it will not care about a founder story. This is the second power shift, stacked on the first, and almost nobody in consumer is ready for it. The skills that matter when you are selling to an agent are: structured data, verifiable claims, machine-readable reviews, API-accessible catalogues, and the ability to win on price-quality at the SKU level. Brand equity matters less. Persuasion matters less. Being legible to a model that has been told “find the best one” matters a lot.

If feeds turned brand building into recommender training, agents will turn it into something closer to SEO for machines. The brands that quietly invest in structured product data over the next eighteen months will look prescient by the end of the decade.

What survives

It is tempting to read all this as the end of human choice, which it is not. People are still going to want things, and at least some of those wants will be deep enough to drive search-style behaviour. Higher-consideration categories, luxury, identity goods, things worn in public, things put inside the body, will retain something of the old architecture. The shelf is not dead everywhere.

But the centre of gravity has moved, and it has moved in a direction that almost no one in consumer marketing has fully internalized. The default mode of consumption is becoming passive, ambient, and machine-mediated. The companies that are honest about that will build differently. They will hire data scientists where they used to hire creative directors. They will optimize for the algorithm’s tastes the way they used to optimize for the customer’s. They will accept that the salesperson now lives inside the platform, and the only question is whether it likes their product.

This may very well be the last generation that thinks of itself as choosing. The next one will be chosen for, gently, constantly, and with frightening accuracy. Whether that is a tragedy or just a different way of being a consumer depends on who you ask. At Kae, we mostly care about what gets built next. And what gets built next will be built for the machine first, the human second, and the shelf not at all.

The PA You Never Had

Why India’s Personal Concierge Moment Is Finally Here and Why It’s Harder Than It Looks

At some point recently, you probably tried to get a restaurant reservation at Pizza 4P’s in Bangalore for Saturday, only to realise everything was already booked out. Or you have been meaning to renew your car insurance, but it keeps slipping down the to-do list. Maybe you need to find someone to frame your painting, sort out your meal plan for the week and instruct your house help on what to pack for lunch, or have your visa form filled and documents organised. And then there are the small but urgent tasks like booking a driver for the airport at 5am. The mental load of managing life’s long tail of tasks is very real, and it compounds quietly.

India is building a fix for exactly this. And it is moving fast. We are watching a new category take shape in real time: personal concierge services, the idea that a single platform, a single chat window, or a single person can absorb all those loose threads of your day and get them done. No more tab-switching, no more no-show vendors, no more cognitive drain over things that really should not require this much energy.

As a consumer, I would love my own PA (and who wouldn’t). As an investor, I am asking whether this is the next big thing or the next cautionary tale. The answer, as with most things worth building, sits somewhere in the messy middle.

Over the past decade, Indian consumers have been steadily conditioned to expect speed, reliability, and immediacy. In urban India, time is increasingly valued more than money. The real question now is how far up the value chain this expectation will travel.

India’s ~$60Bn home services market (FY25) is growing at 10-11% CAGR through FY30, with <1% online penetration. Concierge platforms sit one layer above this market, coordinating not just home services but the broader long tail of everyday tasks.

What Exactly Is a Personal Concierge Platform?

At its core, a personal concierge service is an interface, human, AI, or hybrid, through which you delegate tasks that are too small to hire someone full-time for, but too annoying and time consuming to do yourself. It handles the “long tail” of life admin.

The four underlying actions are consistent across every platform in this space: research, coordinate and communicate, book and negotiate, and handle routine/recurring tasks. The surface area of a working urban Indian household is surprisingly large: supplies, government tasks, kids, parents, vehicles, bills, staff coordination, kitchen, appliances, health, and pets. Without an assistant, you end up being one. The question every concierge platform is wrestling with is how much of that universe to take on, and in what order.

The Players Building This Category Right Now

India’s concierge startup landscape is seeing multiple experiments, each testing a different model for delegating the long tail of life admin.

Why Didn’t This Work Before?

Between 2014 and 2015, a barrage of home-services startups launched including LocalOye, TaskBob, Zimmber, Housejoy, Mr. Right. Most had shut down by 2017. Why?

The first reason was premature copying of the US on-demand model. American consumers have a long history of paying for home services through formal channels. In India, that behaviour was far less established, and adoption outside the early-adopter bubble was slow.

The second reason was unit economics. Customer acquisition cost was high, and when funding tightened in 2016-17, companies without a clear path struggled to survive and folded quickly. Urban Company (then UrbanClap) reported losses nearly Rs 60 crore on a revenue of mere Rs 2.8 crore for FY16, with CAC of Rs 300-400. However, the company had raised ~$57 Mn by 2017 (Total Funding raised ~376 Mn) giving it the capital runway to absorb losses that competitors could not.

The third reason was quality of service. Many early players such as LocalOye, Housejoy and Zimmber operated lead-generation marketplaces: surface a service professional, collect a lead fee, and leave the outcome largely outside the platform’s control. In practice, this was not meaningfully different from platforms like JustDial.

Urban Company took a different approach, investing heavily in training, standardisation and supply quality, effectively building a full-stack services business rather than just a discovery platform. This approach was slower and more expensive, but it improved service quality, drove repeat usage, and gradually made the economics work. By FY25, the company had scaled to Rs 1,144 crore in revenue with Rs 28.5 crore PBT, 6.8 million annual transacting users, and NTV of Rs 3,271 crore.

What has changed in 2024?

Three things, and they are significant.

First, AI has matured enough to meaningfully understand context, coordinate across tools and APIs, and handle the messy, non-standard tasks that a concierge platform needs to manage. Models like Claude and GPT can now integrate with MCPs and live API environments to actually execute tasks rather than just generate responses. The real leverage comes from building persistent context. A system that continuously learns from your messages, emails, and calls begins to understand what matters to you and can surface actions before you even ask. Over time, that accumulated memory becomes a structural advantage that is extremely difficult to replicate and creates stickiness. This does not eliminate the role of humans entirely, but it dramatically reduces the need for constant human intervention. In effect, the platform stops being a tool you query and starts becoming one that simply knows how your life operates.

Second, India’s digital infrastructure is now dense in ways it was not in 2015. UPI handles payments, hyperlocal logistics networks handle physical errands, and e-commerce APIs handle ordering and returns. The orchestration layer finally has something to orchestrate.

Third, and most importantly, Indian consumers have been trained. Ten years of Swiggy, Blinkit, Ola, BookMyShow, Urban Company: a generation of urban professionals knows what digital convenience feels like and is willing to pay for it. The 3 million Zomato Gold members (Q2FY24), the 65 million Amazon Prime subscribers (Jan’26) and the 5.3 million Swiggy One members (FY24) paying for convenience are proxies for a consumer already in the mindset of subscribing to make life easier.

What This Space Still Has to Prove

Will People Actually Change Behaviour?

The addressable pool is not the constraint. The harder question is behavioural: what share of them will actually delegate, pay before they have experienced the value, and trust a platform with the intimate logistics of their home and family? Convenience adoption in India has historically required a forcing function. Swiggy and Zomato worked because hunger is daily and urgent. Uber worked because autos were unreliable. The concierge proposition asks consumers to develop a new habit without an obvious daily trigger. That is a different and harder ask. The open question is whether adoption follows, or whether this remains a product that urban professionals admire but never quite get around to using.

Can You Stand for Everything Without Standing for Nothing?

The breadth of the concierge proposition is also its biggest marketing liability. When your product does everything, you can end up owning nothing in the consumer’s mind. The counter-argument: task diversity, from meal planning to customer support follow-ups, keeps the platform top of mind, which drives further usage, which builds dependability. The risk is not breadth per se, it is breadth without reliable execution.

Subscription or Pay-Per-Task: Which Model Wins?

Pay-per-task is the easier entry point. The value is immediate and tangible. The problem is that it does not build habit. Customers come when they have a task, disappear when they do not, and may never develop the reflex to delegate.

Subscription solves for habit but creates a harder upfront ask in India where consumers are reluctant to commit before they have experienced the value. The platforms that crack it will price it low enough that signing up feels like a no-brainer, then let autopay eliminate the friction of renewal. The real mechanism kicks in after: once someone has paid for a month, they look for reasons to use it. Habit forms not because the product trained them but because the sunk cost nudged them. Low enough to acquire, sticky enough to retain.

The holy grail is when that reflex becomes anticipation. A platform that builds enough context about your life to act before you ask. The anniversary dinner already reserved. The cab already booked. When a platform gets there, retention stops being a sales problem and becomes a product property.

Can You Actually Own Every Outcome?

JustDial’s limitation was never discovery. It was accountability. It surfaced vendors but created no ownership of the outcome. A concierge platform that manages the relationship, tracks quality, and stands behind the result is a fundamentally different product. That accountability is the moat. It is also the hard part.

Urban Company earned it by doing something operationally brutal: training, standardisation, and supply quality across a defined set of skilled and semi-skilled services. It works because a bathroom deep-clean or an AC repair can be broken down into repeatable steps. You can write an SOP. You can train to it. You can measure it. A concierge platform does not have that luxury. The task surface is effectively infinite, and the tasks are nothing like each other. Cleaning a carpet and filling a US visa form are both valid requests. They require different expertise, different vendor relationships, and completely different definitions of done. The accountability promise gets exponentially harder to keep as the task list grows. And the task list is the whole point.

The Unit Economics Challenge Nobody Talks About Enough

The operational cost structure of a human-in-the-loop concierge is heavy from day one. Relationship managers, coordinators, task executors: the overhead arrives before the revenue does. Then there is CAC. You are selling a habit change to a sceptical consumer who has never delegated before. That means performance marketing to find them, brand building to convince them, trials and handholding to convert them, and a subsidised first experience to keep them. Price it low enough to acquire and you bleed on every early customer. Price it at full value and nobody signs up. Then compound that with churn. A customer who subscribes, uses it twice, and quietly cancels has cost you acquisition, onboarding, and service delivery. You have recovered nothing. The unit economics only work if retention is strong, usage is high, and automation progressively takes over the repetitive tasks. Three things that all have to go right simultaneously, in a category that is still figuring out the product.

Who Is the Real Customer Here?

The natural early adopter is not the household with a driver, butler, and full time cook. That problem is already solved with staff. The more interesting customer is the Rs 25L+ urban professional with a part-time bai who still manages the forty small things that fall between the cracks. Time-poor, but not staff-rich.

The key question is how often this customer will actually delegate and what they will be willing to pay before experiencing the value. There is also a structural constraint. Below a certain income level, the willingness to pay for delegation is limited. Above a certain level, the problem is already staffed away.The addressable band in the middle is real. Whether it is large enough to build a meaningful business remains the open question.

What I Am Watching as an Investor

The concierge space is genuinely exciting but genuinely hard. Here is what I would be tracking:

  • First-task success rate: The single most predictive metric for retention. Nail the first few tasks and habit starts to form. One failure in the first few weeks and it is very difficult to recover the relationship.
  • Monthly active delegation rate: Subscription revenue without recurring task delegation is just deferred churn.
  • The automation ratio: How quickly are players moving toward meaningful automation of objective tasks? This is the primary driver of unit economics improvement.
  • Vendor quality and SOP depth: Technology is the visible layer. Operations is the defensible layer: a curated vendor list, task SOPs, and consistent quality checks at every step. Urban Company spent years building this. The new wave needs a shortcut via AI.
  • The AI memory layer: Whoever builds persistent context, the platform that actually knows what you need before you ask, has a structural advantage that is very hard to replicate. That memory is the subscription that never gets cancelled.
  • Capital access: This is a capital-intensive business with a slow habit formation curve. The companies that survive will be those that can repeatedly raise capital and fund the operational build-out required to reach scale.
  • Unit economics over time: Early economics will look messy. The real question is whether CAC, fulfilment costs, and operational overhead improve meaningfully as usage deepens and automation increases.
  • Founder heuristics: In a category with no established playbook, the rules founders choose to operate by matter enormously. How aggressively they automate, how narrowly they define the task surface, how they execute and how they build trust with users will shape both the product and the economics.

The Bottom Line

India’s personal concierge moment is real. The consumer behaviour is there. The AI infrastructure finally exists. The willingness to pay for convenience is demonstrated at scale across quick commerce, food delivery, and streaming subscriptions.

But the graveyard of 2014-15 is not ancient history. It is a reminder that a real problem and a willing consumer are necessary but not sufficient. What killed the last wave was not a lack of demand. It was unit economics that did not work, quality that could not scale, and a habit that never fully formed.

The players who will win this time are the ones who resist the temptation to own everything before they have earned the right to own anything, pick the micro-cluster, nail the first task, build the vendor depth that makes accountability real and then build the memory layer that turns a transaction into a relationship.

The concierge category’s true unlock comes when the platform moves from reactive to proactive: when your assistant books the restaurant before you remember it is your anniversary, replenishes your supplements before you run out, and has your car service scheduled before you notice the 10,000 km mark. When that happens, the PA you never had becomes the subscription you never cancel.

Whether this wave of builders gets it right before the economics run out is, as always, a question only time can answer.

Rethinking Early-Stage Investing in India: Why Discipline Wins in Volatile Markets

Over the past decade, India’s early-stage venture ecosystem has experienced two distinct extremes: capital scarcity and capital abundance.

The post-2021 period tested both models. Valuations surged. Assets under management expanded rapidly. Funds that once specialised in seed began writing larger cheques higher up the stack. (bain)

What followed was inevitable: compression.

Volatility is not a phase, it is the operating environment. For us, discipline is not reactive to cycles, it is structural to how we size funds, construct portfolios, and underwrite at seed.

The Structural Drift in Early-Stage Capital

When seed funds scale AUM meaningfully, one of two outcomes typically follows:

  • Portfolio expansion and diluted attention, or
  • Up-market drift to deploy larger cheques efficiently.

Across global markets, we have seen early-stage funds evolve into multi-stage platforms. Larger VCs prefer writing cheques above $2 Mn. As firms scale, capital allocation models evolve, often prioritising larger cheques and later-stage ownership concentration over deep engagement at company inception.

At the other end of the spectrum, angel syndicates and micro-VCs deploy $100K–$500K cheques. While agile, they often lack structured portfolio construction, long-term reserves, and institutional follow-through.

We have chosen to sit squarely in that gap, as an institutional partner for the first cheque.

Fund Size Is Strategy

In seed investing, fund size is not just a number, it defines behaviour. Smaller, right-sized funds are structurally better positioned to lead early rounds with conviction, maintain meaningful ownership, and reserve capital for follow-ons without diluting focus.

A disciplined portfolio construction approach typically balances initial deployment with reserves for follow-on capital. Allocating a majority of capital to first cheques, while retaining meaningful capacity to double down on outperformers, allows investors to participate in early asymmetry while preserving upside as companies scale. This also enables natural dilution over time, particularly from Series C onwards, without overextending at later stages.

Initial cheque sizes in the $1–2.5M range have increasingly emerged as the institutional sweet spot at seed, large enough to lead rounds and support founders meaningfully, yet calibrated to avoid distorting early-stage price discovery.

Concentration further reinforces discipline. Focused portfolios allow for deeper engagement, sharper underwriting, and the ability to allocate disproportionate capital to emerging winners. In venture, fund size shapes behaviour, and behaviour ultimately shapes outcomes.

Staying Anchored to Seed, With Institutional Rigor

Within this context, Kae Capital has built its strategy around being an institutional partner at inception, combining disciplined fund sizing, concentrated portfolios, and structured follow-on investing. Over three funds, the firm has backed 90+ companies, including early investments in Porter, Zetwerk, Tata 1mg, Snapmint and Traya.

These outcomes reflect a consistent approach to identifying and underwriting risk early, rather than relying on later-stage momentum. Experience across both early-stage and follow-on vehicles has further reinforced a clear insight: later-stage investing requires fundamentally different infrastructure and pacing. Rather than expanding up the stack, Kae has chosen to stay anchored to seed, where early conviction and focused ownership drive long-term outcomes.

DPI Over Optics

In bull markets, TVPI dominates conversation. In tighter cycles, DPI defines credibility. Fund I (India vehicle) is fully exited at ~4x DPI.

That is not a mark-to-model outcome. It is capital returned.

Funds II and III have achieved top-decile TVPI performance. But equally important, Fund I generated early liquidity and established return credibility across vintages.

Across cycles, we realised capital provides resilience and reinforces underwriting discipline.

India’s Structural Decade: Why Early Conviction Matters Now

India is entering a defining decade marked by the convergence of macroeconomic resilience and sustained structural reforms. Reflecting this momentum, the IMF has raised India’s FY26 GDP growth forecast to 7.3% from 6.6%, citing strong quarterly performance and broad-based expansion. The World Bank has also revised its outlook upward to 7.2%, driven by robust domestic demand, higher consumption, tax support measures, and improving rural incomes (Times of India). Expanding domestic consumption, rising capital expenditure, and a strengthening manufacturing base, supported by supply chain diversification and production-linked incentives, position India as the fastest-growing major economy globally.

Digital payments now comprise ~99.8% of total transactions volume in India, with UPI at the core highlighting the scale of digital public infrastructure, according to RBI data (H1 2025).

Source: The Economic Times (based on RBI data)

Digital infrastructure is not incremental, it is foundational. When nearly all payments in the economy flow through interoperable rails, startups can scale distribution faster, reduce operating friction, and unlock network effects that were not possible even a decade ago. Aadhaar, UPI, and interoperable digital rails have formalised economic participation at scale, compressing time-to-scale for startups building on top of them.

Structural infrastructure reduces friction at inception, enabling early-stage companies to scale faster, more capital-efficiently, and with national distribution from day one.

Capital Markets Maturity: A Durable Exit Pathway

India’s public markets have entered a new phase of structural maturity.

Over the past few years, India has consistently ranked among the top global IPO markets by fundraising volume.

Domestic participation has expanded meaningfully:

  • Demat accounts have crossed 210 Mn. (Angel One)
  • SIP inflows into mutual funds have continued to scale new highs, reaching ₹37.1 billion. (Times of India)

This broad-based retail and institutional liquidity has strengthened India’s equity markets and reduced reliance on offshore listings.

In CY 2025 alone, India recorded the world’s fourth-largest IPO fundraising year, raising approximately US $14.2 billion. (ibef.org)

Source: Moneycontrol (data from Prime Database).

Recent venture-backed listings illustrate this evolution:

  • Lenskart (~$830M IPO)
  • Groww (~$750M IPO)
  • Fractal Analytics (~$314M IPO)

These are not isolated outcomes. They signal a durable domestic exit pathway.

India’s public markets have entered a phase of structural maturity. A growing number of venture-backed companies are accessing domestic capital markets, supported by deepening retail participation, expanding institutional liquidity, and sustained SIP inflows.

This evolution strengthens domestic exit pathways and reduces reliance on offshore listings.

When sustained macro growth, digital infrastructure, manufacturing momentum, and capital market depth converge, early-stage investing shifts from a cyclical trade to a structural opportunity.

In such an environment, disciplined seed investing is not conservative positioning, it is asymmetric capital allocation at the foundation of long-term value creation.

Theme-Led Generalist: Repeatability Through Focus

Our Fund IV strategy is theme-led and sector-agnostic, anchored in structural shifts shaping India’s next decade.

We operate as a disciplined, institutional seed platform, backing structural market shifts early and decisively.

Our investment strategy clusters at the intersection of deep structural shifts shaping India’s next decade: AI & Intelligent Automation and Resilient India.

We invest behind enduring tailwinds, AI breakthroughs, geopolitical realignment, supply-chain rewiring, generational consumption shifts, and policy-led technology sovereignty, where early conviction compounds into category-defining outcomes.

Within these themes, our underwriting remains founder-first and market-led. We back founders with strong founder–market fit, execution resilience, and the ability to build large, globally competitive businesses with disciplined capital.

Our focus areas include:

  • AI-driven platforms across B2B and Consumer
  • Agentic workflows, vertical AI, and application infrastructure
  • Energy transition and sustainable industrial capacity
  • Supply-chain resilience and capability-led manufacturing
  • Digital infrastructure and cybersecurity
  • Strategic technologies aligned with India’s long-term strength

We believe venture alpha comes from identifying structural shifts early, concentrating capital with conviction at inception, and selectively doubling down as signals strengthen.

This disciplined breadth enables deep pattern recognition, informed underwriting, and repeatable early-stage conviction, where structural change is first visible and long-term value creation begins.

Discipline as the Defining Edge

India’s venture ecosystem is entering a phase where structural tailwinds and market maturity are reshaping early-stage investing. As digital infrastructure, domestic capital markets, and sustained economic growth converge, the edge lies with investors who can underwrite early with clarity, discipline, and conviction. In this environment, fund size, portfolio construction, and capital allocation become strategic levers that define long-term outcomes.

Enduring venture platforms will be built not on cycle-driven momentum, but on consistency of judgment and precision of execution across cycles. The ability to identify inflection points early, concentrate capital with intent, and remain anchored to a clear strategy will define performance in the decade ahead. In India’s structural growth phase, disciplined early-stage investing is not just relevant, it is foundational to compounding long-term value.