The Fund That Backed Mamaearth and Rapido Now Wants to Back India's AI Decade
Kunal Bahl and Rohit Bansal built Snapdeal from scratch, took it to a multi-billion dollar valuation, weathered one of India's most scrutinized startup reversals, and came out the other side writing their own checks. Over the past decade, Titan Capital has quietly become one of India's most consistent early-stage funds, with bets on Mamaearth, Rapido, Urban Company, OYO, and PharmEasy.
The pattern across their portfolio has always been the same: back India-specific problems before the consensus catches up.
Titan Capital recently launched Future Indicorns, a structured application initiative for AI startups building for India. The June 15, 2026 deadline is the primary application window. Applications are reviewed on a rolling basis. But the thesis behind Future Indicorns is not a one-time event. It reflects what Titan Capital is actively looking to back across every cycle.
This guide is built for two kinds of readers: founders who want to apply before June 15, and founders who want to understand Titan's investment lens deeply enough to build a credible path into their portfolio beyond this window. Everything here covers their 10 conviction themes, what they look for in founders, a field-by-field application breakdown, and what filters you out before a partner reads your name.
If you want your startup profile ready before you apply, create your profile on Backrr so your pitch, traction, and team are organized in one discoverable place.
Quick Snapshot
| Detail | Information |
|---|---|
| Program Name | Future Indicorns |
| Fund | Titan Capital |
| Key Partners | Kunal Bahl, Rohit Bansal + 6-person partner team |
| Application Deadline | June 15, 2026 |
| Application Link | Apply Here |
| Review Process | Rolling basis |
| Target Stage | Pre-seed and Seed |
| Focus | AI-first startups for India |
| Investment Themes | 10 conviction areas |
| Application Cost | Free |
Who Is Titan Capital and Why This Is Worth Your Time
Titan Capital is not a traditional institutional fund. Kunal Bahl and Rohit Bansal started it with personal capital from their Snapdeal journey. That origin matters: they are operators turned investors, not career VCs. They have hired at scale, managed investor pressure, navigated brutal market shifts, and built consumer trust from zero in one of the world's most competitive internet markets.
| Fund Detail | Information |
|---|---|
| Fund Type | Early-stage venture |
| Founded | 2016 |
| Strategy | Seed and pre-seed |
| Portfolio Size | 200+ companies |
| Notable Bets | Mamaearth, Rapido, Urban Company, OYO, PharmEasy |
| India Focus | 100% |
| Partner Count | 8 named partners |
The Future Indicorns initiative signals one specific conviction: Titan believes the next wave of Indian unicorns will be AI-native from day one. Not AI-enabled. Not AI-integrated later as a feature. AI at the core of every product decision, customer loop, and business model.
Their exact framing: India's next AI unicorns will not be built by copying Silicon Valley. They will emerge from India's hardest, most complex, and most consequential problems.
Why Rolling Review Changes How You Should Time Your Application
Three facts that change how you should approach this application window.
The deadline is hard. June 15 is not a soft cutoff. Applications received after that date will not be reviewed for this cycle.
Earlier is meaningfully better. Titan reviews on a rolling basis. A strong application submitted in the first week receives more partner attention than the same application submitted in the final 48 hours, when the queue is largest.
Partners are named. Kunal Bahl, Rohit Bansal, and six other named partners are reviewing applications directly. This is not a scout-first, filter-later program.
The 10 AI Themes Titan Is Actively Backing
These 10 themes are not exhaustive. Titan has been explicit that if you are building in AI with a strong India thesis, you should apply regardless of whether your sector appears on this list. But if your startup maps to one of these areas, you have direct validation that the check-writers have already done the conviction-building work on your space.
| # | Theme | Core Problem | Market Signal |
|---|---|---|---|
| 1 | AI-native SMB Marketplace | Discovery and trust in B2B commerce still runs on catalog directories and keyword search | $200B B2B online opportunity by 2030, 63M MSMEs |
| 2 | AI in GovTech | GovTech fails because of CSR dependency, not lack of ambition | 28 states to scale across with a repeatable government contract model |
| 3 | The Sales Coach for India | No AI layer exists for India's vernacular, accent-diverse sales and BPO workforce | 63% of India's formal hiring is sales and marketing |
| 4 | Physical World Data | Training datasets for real-world robotics models are globally scarce | 1.4B people generating ego-centric physical world data |
| 5 | AI for Indian Disease and Genomes | Global pharma AI is trained entirely on Western genomic data | 60% of Indian deaths are caused by NCDs |
| 6 | AI for Data Center and Energy | $200B+ committed to AI data centers with no native energy management stack | Data centers to draw 5% of India's electricity by 2030 |
| 7 | AI in Real Estate | A $1T market still running on broker WhatsApp groups and broken Excel | RERA filings, broker CRM, society management, mortgage origination |
| 8 | AI and Data Sovereignty | DPDP Act is live with Rs 250 Cr penalty ceiling and no compliant AI stack in market | Every country tightening data rules becomes a new export market |
| 9 | AI for Healthcare Providers | $180B market, fragmented and manual, patient follow-up is structurally broken | NCDs drive 60% of deaths; the real prize is post-diagnosis adherence |
| 10 | AI for Manufacturing | PLI-driven manufacturing capex needs AI that works on existing equipment | $41B automation market by 2032, Rs 1.46 lakh crore in new investment |
The Partners Reviewing Every Application
Titan has named every partner involved in the Future Indicorns review process. That transparency is unusual and important: it tells you exactly whose pattern-matching your application will pass through.
| Partner | Background |
|---|---|
| Kunal Bahl | Co-founder, Snapdeal. Built India's largest B2C marketplace. Operator turned seed investor |
| Rohit Bansal | Co-founder, Snapdeal. Operationally deep, sharp on India market dynamics and unit economics |
| Manik Pasricha | Partner, Titan Capital |
| Utpal Raman Sharma | Partner, Titan Capital |
| Chiragh Cariappa | Partner, Titan Capital |
| Aditya J. | Partner, Titan Capital |
| Geetansh Popli | Partner, Titan Capital |
| Pramit Singhi | Partner, Titan Capital |
Kunal and Rohit bring operator instinct from building at scale under market pressure. The broader partner bench brings sector-specific diligence depth across the 10 themes.
What Titan Capital Is Actually Filtering For
Titan's public framing, portfolio pattern, and LP-facing communication consistently point to five selection signals. These apply to Future Indicorns and to every conversation Titan has with founders outside formal application cycles.
| Signal | What It Looks Like in a Strong Pitch |
|---|---|
| India-first problem | The problem exists because of India's structural complexity, not despite it |
| AI at the architecture level | AI is not a bolt-on feature. It is how the product creates its core value |
| Founder-market fit | You have lived the problem or have deep domain proximity to the exact buyer |
| Verifiable traction | A signed pilot, active users, LOI, or early revenue. Not self-assessed PMF |
| Monetization clarity | You know who pays, how much, and on what cycle from day one |
Writing an Application That Gets a Partner Response
The difference between applications that get read and applications that get skipped is specificity. Not deck design. Not market size slides. Specificity about the problem, the buyer, and the number.
| Application Field | Strong Answer | Weak Answer |
|---|---|---|
| What are you building? | We help MSME packaging buyers in Pune find verified suppliers via a WhatsApp-native AI agent that handles RFQ, negotiation, and order confirmations. | We are building an AI-powered B2B marketplace for Indian SMBs using cutting-edge conversational technology. |
| Which theme fits? | AI-native SMB Marketplace. We are solving the trust and verification layer in industrial B2B procurement. | We see overlaps with multiple themes since our platform serves several verticals. |
| Current traction | 14 pilot buyers, 3 repeat orders, Rs 18 lakh in GMV across 60 days of live operation. | Strong early traction with growing market interest and encouraging PMF signals. |
| Why this team? | I ran procurement for a Tier 2 auto parts manufacturer for 4 years. My co-founder built B2B discovery infrastructure at Udaan. | We are a passionate team with deep domain expertise and strong technical capabilities. |
| Why now? | MSME digitization crossed 30% post-ONDC. Conversational AI inference cost dropped 80% since 2023. The first-mover window is 18 to 24 months before horizontal aggregators move in. | AI is accelerating globally and India is at an inflection point for B2B commerce innovation. |
Six Filters That Kill Applications Before a Partner Reads Them
| Rejection Pattern | Why It Fails |
|---|---|
| AI as a feature, not the core | Bolting a chatbot onto an existing SaaS product is not a Future Indicorns application |
| Global idea with an India price discount | Titan's thesis is India-born problems. A Western AI company adapted cheaply for India is explicitly not that |
| Vague traction language | "Strong PMF" and "growing user base" are noise. Revenue, active users, or signed pilots are the only valid signals |
| Non-technical solo founder with no deployed product | This is an AI-first initiative. No product in market and no technical co-founder is a hard filter |
| Copying a Silicon Valley AI company for India | Titan stated this directly. The best applications will not anchor on Western comps as the strategy |
| Applying in the final 48 hours | Rolling review means partner bandwidth is lowest at the end. Early applications get the most considered attention |
Your Pre-Submit Checklist
| What to Do | Why It Matters |
|---|---|
| Reframe your problem statement to be India-specific | Titan's thesis is that India's structural complexity is the moat. TAM alone is not enough. Show you understand the problem at ground level |
| Replace all PMF language with actual numbers | Active users, pilots, LOIs, or revenue. Every vague claim is a credibility discount |
| Pick one theme and commit to it clearly | Founders who say "we fit multiple themes" signal they have not thought deeply about where they are strongest |
| Write your "why now" using India-specific data | ONDC adoption, DPDP enforcement, PLI outcomes, and NCD burden are real inflection points. Use them |
| Get your startup profile discoverable | When a partner wants to go deeper, they search for you. Create your Backrr profile so your pitch deck, team, and traction are ready to find |
How to Get on Titan Capital's Radar Beyond June 15
The June 15, 2026 window is the most direct path to getting Titan's attention this year. But Titan Capital invests year-round in AI-first Indian startups. Future Indicorns was designed to surface new names, but the investment thesis behind it is not time-limited.
If you are reading this after the application window has closed, three things still apply.
The 10 themes remain active investment areas. Titan's conviction across AI in GovTech, healthcare, manufacturing, real estate, and data sovereignty is not going away after June 15. These are multi-year bets.
A warm introduction via a shared portfolio founder still works. Titan's network is dense. A credible introduction from a founder they have already backed carries more weight than a cold inbound at any point in the year.
Your fundraise profile needs to be visible. Titan partners search founders before and after any conversation. Create your startup profile on Backrr so your metrics, pitch, and team are organized and discoverable whenever that search happens.
If you are building in AI with a clear India-first thesis, Titan is still the right fund to be tracking. Use this guide to sharpen your framing and be ready when the next window opens.
Apply to Future Indicorns Before June 15, 2026
Future Indicorns applications close June 15, 2026, and are reviewed on a rolling basis. The application is free. Earlier applications get more partner time.
If you are exploring parallel funding paths alongside this, read our guides on angel investors in India, global accelerator programs for Indian startups, and the pre-seed fundraising timeline for India in 2026.
Get your startup profile ready before you apply.

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