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Built in the Himalayas for the way people actually travel India and Asia — grounded in real local pricing, honest road times, and answers it will refuse to fake. One deck, three audiences: the slides marked for you are near the end.
Ask a global chatbot to plan Spiti and it will confidently say a 200km drive takes three hours. It's nine. It names restaurants that closed years ago.
They can't tell you the Rishikesh auto costs ₹150, not the ₹400 a tourist is quoted — because that truth isn't on the open internet.
Group trips still get planned in chaotic WhatsApp threads, with no honest budget and no way to settle who owes whom.
The gap isn't intelligence. It's ground truth and trust.
Travellers have decided to plan with AI but book with their own hands. That is exactly the behaviour RoamWise is designed around: do the thinking, earn the trust, hand off the booking. The window to own "the AI you plan with" is open right now.
Day-by-day plans built on real terrain-aware travel times and verified local cost bands — so it can say "that day-trip isn't possible" instead of inventing one.
Shared trip chat with live cost-splitting down to the paise, date-finding, and one-tap UPI settle-up. This is our wedge — nobody else owns the group.
No fake urgency, no invented safety claims. Every honest refusal is a reason a traveller comes back. Trust is the product.
Mobile-first, UPI-native, Hinglish-fluent — then the same engine serves anyone travelling into these regions.
RoamWise is revenue-generating but still at the earliest traction stage. We are not presenting one month of data as product-market fit. This financing is built to prove retention, paid conversion, repeatable acquisition and travel marketplace demand.
Android app + web app, in the wild today at roamwise.co.in
Solo founder — product, code, design, content, all of it
Interns contributing, with a full internal ops system built for them
Raised so far. Everything above was built without outside money
A working product with real payers, built by one person with no funding, is the strongest possible proof of capital efficiency. Imagine what this founder does with a real team.
OpenStreetMap, Wikivoyage, transit data. Anyone can use these. They give structure, not truth. On their own they cannot price a Rishikesh auto correctly.
Real cost bands, scam patterns and seasonal pricing, each checked by a paid contributor on the ground and stamped who + when. This does not exist online to scrape. We create it.
Contributors re-verify on a cycle; users flag stale prices. A copyist starts from zero on launch day, and is a year behind by the time they match our base.
Optimising for 190 countries, no global player will pay to price-check autos in 40 Indian cities. The narrowness is the defensibility.
India online travel, 2026 → 2031 at ~8.7% CAGR. 78% of bookings are mobile, UPI-led.
India outbound tourism — the fastest-growing slice, and where our high-value users sit.
~1B smartphones in India by 2026; millions of first-time online travellers entering the funnel.
We don't need this whole market. We need the travellers planning within India and Asia — underserved by Western tools, mobile-first, and now AI-first.
₹100 founder price → tiered subs and 3/5/10-year passes. Recurring, and higher for international users.
Flights, stays, activities. Never influences a recommendation — the cost engine computes identically either way.
Co-branded and sponsored itineraries. Revenue-share, so cost scales only when revenue does.
Print-on-demand travel tees; website-only ads. Small, steady, zero-inventory.
No data sale. No paid placement. No dark patterns. The trust is the asset — we don't sell it.
| ₹ Crore | Y1 | Y2 | Y3 | Y4 | Y5 |
|---|---|---|---|---|---|
| India MAU | 12k | 70k | 230k | 560k | 1.08M |
| Intl MAU | 1.5k | 12k | 55k | 160k | 380k |
| India ARPU | ₹120 | ₹300 | ₹480 | ₹650 | ₹800 |
| Intl ARPU | ₹600 | ₹1,400 | ₹2,200 | ₹3,000 | ₹3,600 |
| Revenue | 0.04 | 0.46 | 2.59 | 9.90 | 28.94 |
| EBITDA | −2.8 | −4.6 | −5.9 | −2.8 | +11.1 |
EBITDA turns positive in Year 5 (~38% margin) on ~₹29 Cr revenue; cumulative burn to breakeven ~₹16 Cr. A model, not a promise — every figure traces to a stated funnel and ARPU assumption you're welcome to push on.
Multi-year passes and subscriptions convert one-time buyers into annual ARPU; creator trips add contracted, repeatable revenue; affiliate compounds with the base.
Support, content, itinerary drafting and data QA are largely automated. No per-query model bill — answers use owned data. Margin holds as users 100×.
Partnerships drive both revenue and efficient customer acquisition. Paid as revenue-share, never fixed fees.
CoordKit (our settle-up engine, sold B2B), verified-data licensing, and eSIM/fintech attach — each reuses what we already own.
Rolling closes allow RoamWise to start with a focused plan and expand only as milestones justify deployment. Approximate INR equivalents: ₹4.75 Cr minimum, ₹23.75 Cr target and ₹47.5 Cr absolute hard cap.
Mobile, AI quality, privacy, payments, monitoring and the removal of founder-only technical bottlenecks.
Creator, referral, campus and community channels measured against activation, retention and revenue.
Travel partners, verified ground truth, stays, experiences and destination operations.
Entity setup, legal, finance, security, moderation and travel-safety systems.
Released against operating milestones rather than spent simply because it was raised.
No investment above $5M enters this financing before or after the target close.
Series A proof: repeatable acquisition, improving retention, meaningful paid conversion, growing revenue and demonstrated marketplace activity.
"The AI you plan travel with" is an unowned position forming right now. The winner in India's mobile-first, AI-first shift can extend across South and Southeast Asia — a multi-hundred-million-user surface.
The verified ground-truth layer is a compounding, licensable dataset — valuable independent of the app, and the basis of a durable moat and a real Series A story.
Paying users and a live product on ₹0 raised. This is a founder who converts money into output at an unusual rate — the trait that most predicts a good ownership outcome.
Defined milestones — data across 40 cities, positive unit economics — make the Series A underwriteable, not hopeful.
Solo founder who shipped a live app, earned real payers, and built an entire internal ops system — alone, unfunded, from Almora. Angels win on people at this stage; this is the profile.
A product that refuses to lie in a category full of hallucinating chatbots. That integrity is rare, hard to fake, and exactly what earns long-term user trust.
A flexible Seed structure offers early participation while tying larger deployment to measurable operating milestones.
Intros to travel, creators, or early users move the needle now. This is a founder who will use your help, not just your cheque.
UPI-native, Hinglish-fluent, mobile-first, and priced for how Indians actually pay — once, not endless subscriptions. This didn't get localised from a Western app; it started here.
The next hundred million travellers come online from smaller cities. A trustworthy, low-cost, mobile planner is how they're won — and RoamWise is positioned there.
The same product serves a family planning Manali and a professional planning Singapore — capturing both the volume and the high-ARPU corridor.
A genuine India-origin story with national-pride and export potential — the kind of company that represents Indian software to the world.
We're building the travel planner that earns trust by telling the truth — and turning that trust into the most defensible dataset in Indian travel. Come build it with us.
Mohit Pandey · Founder, RoamWise · founder@roamwise.co.in · roamwise.co.in