Apps are dying.
AI Links are the future.
India's offer-and-services graph, built for the AI era — addressable in two words on WhatsApp today, citable by ChatGPT, Claude & Gemini tomorrow.
recip.to · ailinks.me (both owned, both resolve to the same graph)
Recipto · Investor Deck · 2026
One offer. Five apps.
One service. Five more apps.
To save money on a single bill, an Indian customer juggles 4-5 cashback / coupon apps. To book a single home service — laundry, AC repair, cleaning — they juggle 4-5 more. Each app: separate login, separate balance, separate redemption window.
The today journey
- Magicpin / Gyftr for % off on brand bills
- CashKaro for shopping cashback
- Each brand's own app for in-store offers
- UrbanCompany / NoBroker for cleaning, plumbing, pest control
- Pronto / Snabbit / Broomberg for maids & daily help
- Vijay Home Services / 1mg / Practo for niche services
The Recipto journey
- Open WhatsApp (already on the phone)
- Type "kfc", "starbucks", "laundry", "ac repair"
- Get the link, claim the offer / book the service
- No app, no signup, no login
- 900 brands for bill discounts +
100 home services, all in one chat
Apps aren't just fragmented — they're being replaced. 800M+ users now ask ChatGPT/Claude instead of opening apps. WhatsApp Meta AI is live for 500M Indians. AI assistants return links and answers, not app icons. Whoever owns the canonical URL wins.
Recipto AI Links.
One graph, every channel.
Every brand, apartment and service has a single canonical link — recip.to/<name> · also resolvable at ailinks.me/<name> (we own both). 900 brands + 100 discounted services, all addressable in two words. WhatsApp is the wedge today. ChatGPT, Claude, Gemini and Swiggy AI are tomorrow. The graph is the product.
ailinks.me is the category-defining domain — the literal answer to "what is the link an AI cites?" — and we own it. recip.to is the short, brandable consumer domain. Same graph behind both; switchable as AI distribution surfaces evolve.
Today — live across every chat surface
📱 WhatsApp · 📷 Instagram · 💬 Facebook · ✉️ SMS
DMs · post comments · direct messages to our number — all auto-replied.
- Brand example: user types "kfc" → bot replies "💳 KFC — recip.to/kfc" → tap → instant savings on the bill
- Service example: "laundry" → "🧺 Laundry — recip.to/laundry" → 35% off, partner takes booking
- Comments on IG / FB posts → bot DMs the user the recip.to link automatically
- Follow-up turns — replies keep the thread alive, surface related brands & services
- Voice notes work too (Gemini-transcribed)
- Same graph behind every surface — one webhook, identical answers
What the bot understands
- Online + offline + mall brands — kfc, starbucks, croma, myntra, lake shore mall offers
- Apartment names — my home akrida, aparna sarovar
- Service intents — laundry, ac repair, thyroid test, sofa cleaning
- Voice notes — Gemini-transcribed, fall through to the same search
- Multi-turn replies — follow-up messages refine results
Tomorrow — AI assistants
- One canonical URL per entity → AI-citable
- Live, structured inventory → fresh, not crawled
- Apartment-pinned granularity → only Recipto has it
- When a user asks AI "AC service in Gachibowli with discount", the assistant returns recip.to/<...>
Apps gave you icons. AI gives you answers. Recipto AI Links are the answer layer for "what can I get / do near me?" — already in customers' hands via WhatsApp, ready to syndicate to every AI surface that matters.
Gated community residents get
EXTRA discounts on 900 brands + 100 services.
India is urbanising — 40%+ of urban households already live in gated apartments. The gate is also a wall: brands can't put up hoardings, services can't door-knock. Recipto unlocks it with a tiered offer model — public users see a standard discount; verified residents see a deeper, society-exclusive discount on top.
Brand AI Links — instant savings on every bill
- 900 brands — online, offline & mall spanning electronics, fashion, grocery, beauty, pharmacy, dining, gifting and mall outlets (Lake Shore, Nexus, Sarath City, Inorbit, GSM, Atrium, Ashoka One)
- Public discount = standard tier; society-resident discount = deeper tier auto-applied at checkout
- Resident types brand name → recip.to/<brand> → instant savings on the bill, deeper % inside the society
- Magicpin / Gyftr can't replicate — they're city-wide and one-tier
Service AI Links — discounted home services for residents
- Laundry bucket — partnered with UClean + 10 other nation-wide laundry brands; wash & iron · 35% first-time · 19 local partners, 553 weekly pickup zones
- Cleaning & home services — partnered with Vijay Home Services + category leaders: bathroom · sofa · AC repair · pest control · painting · lab tests
- Public users get the standard rate; residents get an additional % off layered on top
The bulk-purchase flywheel — our big bet
Live across ~20% of Hyderabad apartments today with brands + services. Hundreds of households in one concentrated building = aggregated demand. One pickup van serves 30 flats in one stop. Partners commit deeper discounts because volume is real, not sprayed.
Why this is unbeatable
- Brands pay for geo-pinned, vetted reach — no impression waste
- Apartment QR = the only door (forwarding doesn't unlock it)
- Aged communities = high-income, high-LTV, low-churn cohort
30K users · ₹60L GMV last month.
40% take rate on services.
Currently live in ~20% of Hyderabad's apartments — 450+ communities · ~4 lakh flats · 10 lakh+ high-income urban residents reachable via apartment QR + WhatsApp. 40% take rate on home services; ₹200 per user per month in GMV today, services compounding.
Last month's ₹60L GMV — where it came from
₹54 L · laundry + home services
₹6 L · giftcards + bill redemptions
Services already dominate — and they carry the 40% take rate.
Why the mix matters
- Services slice (₹54L) × 40% take rate = ~₹21.6L net revenue last month
- Brands slice (₹6L) carries thinner commission but huge top-of-funnel pull
- As the bulk-laundry pilot scales, the 90/10 mix tilts even further toward high-margin services
WhatsApp bot velocity (last 7 days)
| Channel signal | Volume (7d) | |
|---|---|---|
| Free-text searches | "kfc", "uclean", "ac repair" | 341 |
| List/menu picks | tapping a quick-reply button | 34 |
| Voice notes | transcribed via Gemini | 11 |
| Distinct users (bot test cohort) | 42 |
Zero-result rate: 0%. Every message routes to a brand, apartment, service or fallback offer. Take-rate context: ₹60L is GMV; net revenue = 40% on the services slice + commission % on giftcards/brands.
Meet our Team
15+ yrs exp in Product Development. Middlesex University Alumni
Professor in NIT Warangal. 10+ yrs Exp in Industrial Products, IISc Alumni
10+ yrs Exp in AI/ML, Masters in Data Science. University at Buffalo, IIT Madras Alumni
Founders combined having over 40 years of experience and hold 3 technology patents!
$50B addressable.
India's urban consumer spend on offers, vouchers, home services and apartment commerce — split into the slice we can serve today, the slice the graph naturally extends to, and the full opportunity.
Indian urban consumer spend on offers, vouchers, home services & loyalty.
Tier-1 + Tier-2 cities, smartphone & WhatsApp users with organised retail in reach.
7 cities, 5L apartments × 100 partners — what we win with this round.
Drivers
- Home services market: $5B today → $20B by 2030
- Cashback / loyalty / voucher: $2B and consolidating
- Apartment-resident commerce: 10 Cr urban HHs × ₹2 L/yr = $240 B
Why now
- WhatsApp Business API matured — Interakt, Gupshup, Wati
- AI assistants need a citable commerce graph — none exists
- Consumer fatigue with 5+ cashback apps is real
Competitive set
- Cashkaro / Magicpin / Gyftr — app-first, single-category brand vouchers
- UrbanCompany — services only, app-required
- NoBroker / MyGate — apartment graph, no offers
- None unify offers + services + apartments in one chat layer
Raising $2M seed.
To go-to-market and scale.
Use of funds
- 45% — Go-to-market · WhatsApp + Instagram + SMS campaigns, society BD, brand partnership team
- 25% — Engineering · scale single-webhook bot to a multi-channel platform; SDKs for AI distribution (Claude, Gemini, Swiggy AI)
- 20% — Partner onboarding · 200 → 2,000 home-service shops; 900 → 5,000 brand partnerships
- 10% — Apartment / society BD · 1.94 L mapped → 5 L active QRs
What you get
- The fastest commerce surface in India — zero install, sub-2-second reply
- A defensible graph: brands × apartments × services × cities
- Real GMV from day zero: ₹60L last month, growing — take-rate revenue compounds on top
- Built for the AI era — citable URLs ready for Claude / Gemini / Swiggy AI
- Founder access — direct line, weekly updates, full transparency · hiring live at recip.to/careers
founder@recipto.in·recip.to/investor
Confidential — for invited investors only