Built in India for real-estate developers
Veya turns the brochure you already have into a private project page that buyers unlock with their phone number. Your sales team sees who opened it, what they studied, and who to call first.
The problem
“Sir, did you get a chance to check the brochure?”
Almost every follow-up call in Indian real estate opens with that line. A PDF goes out on WhatsApp and the developer goes blind: it may be studied, forwarded to family, or never opened at all. Every enquiry looks the same, so the team calls in the order the leads arrived.
Veya replaces the question with an answer. “You looked at the 3 BHK twice last night and ran the payment plan. Shall we walk it on Saturday?”
After the send
An illustrative evening, shown on real Veya screens.
Not a PDF. A private project page that carries Neha's name, so the lead is hers before anyone opens it.
A real, phone-confirmed person instead of an anonymous visit. If the link is forwarded, the new reader verifies too and becomes a lead of their own.
Every section they open, and how long they stay, is recorded against their verified number. A quick scroll past does not count.
Veya notes the configuration they keep returning to, so the call can start with the right home.
They came back once late last night and again this morning, both times to pricing and the payment plan. Returning to the numbers on a new day is one of the clearest signals there is.
Three visits inside 24 hours open a decision window, so Veya marks the buyer hot and starts a 30 minute clock. Neha opens with the 3 BHK and the payment plan, not with the brochure.
What the sales team sees
Veya on WhatsApp In pilot
Indian sales floors already run on WhatsApp. So Veya answers there: who to call, what a buyer looked at, how a project is doing, and a follow-up draft, typed the way salespeople actually type.
Sample chat. Salesperson asks: who should I call today? Veya replies with the top 4 buyers to call, each with a reason: Gaurav Menon, back 3 times since last night and ran the payment plan; Shilpa Gupta, asked for a callback; Rohit Bose, site visit requested; Nikhil Sharma, hot and not contacted.
Sample chat. Salesperson asks for the first buyer's details. Veya replies with a lead card: Lumina, 3 BHK Type A, hot, 6 opens, what to pitch, signals and best time to call. Then it drafts a short follow-up marked Not sent.
Sample chat. Salesperson asks how Lumina is doing. Veya replies: 30 leads, 5 hot, 3 warm, strong engagement, 6 hot and warm leads not contacted, focus on calling them. Then an alert: Gaurav Menon is back, third visit in 24 hours, on Pricing now.
Sample chat from the buyer's side. Meridian Developers sends the OTP on a project card, then the salesperson shares a private link, and the buyer asks to see the sample flat on Saturday.
Sample conversations with demo data and masked numbers. For leads and analytics, the language model only picks one query from a fixed list and plain code writes every number. Sales agents see only their own leads.
How India buys a home
It is often the largest purchase a household will make, and the evidence for it is scattered across WhatsApp forwards, late-night browsing and second looks at the price. Veya was designed around those habits rather than around a web-analytics dashboard.
The brochure travels from the buyer to a spouse, to parents, to a sibling abroad. The real decision unit is a household, not a lead.
What Veya readsForwards become new verified leads linked to who shared them. The same buyer on two devices within four hours is flagged as a joint decision.
joint_decision · reshare · silent_forward
Projects are discovered, discussed and forwarded in chats, and opened on a phone, often after work.
What Veya readsA mobile-first page, one tracked link per salesperson, and the hour each buyer usually browses, so calls land when they are listening.
contact_window · peak hours
Buyers rarely ask about price first. They come back to it, run the payment plan, and think in EMIs.
What Veya readsComing back to the payment plan across visits, without saving a unit, marks a price-sensitive buyer, so the pitch becomes the payment plan, not the lifestyle.
payment_plan_revisit · price_sensitive
Many homes are sold under construction. Possession dates, RERA registration and the developer's track record weigh as much as the floor plan.
What Veya readsReading the possession FAQ without reaching out suggests possession anxiety, so the call opens with the date, not the discount.
faq_open · possession_anxiety
Carpet area, floor, facing and Vastu often decide between two otherwise equal homes.
What Veya readsWhich configuration, tower and unit a buyer keeps returning to, so the conversation starts with their home, not the whole project.
unit_focus · preferred configuration
A first look on the phone, a deeper study on a laptop, a walkthrough video shared with family, then three visits in one evening.
What Veya readsA move from mobile to desktop raises priority, a strong video preference changes what to send, and three visits in a day moves the buyer into the hot queue.
device_escalation · video_preference · decision_window
These are rules in Veya's interpretation layer today, written in plain language and visible to the sales team. A few depend on page controls that are not on every project yet.
The product
A mobile project page for buyers, a desktop workspace for the people who sell to them, and a single lead record that joins the two.
Every buyer who verified on any of your project pages, with the home they lean towards, who owns them, how long they spent and when they were last active. Filter, sort, assign and export.
Built from your brochure in minutes. Up to 15 sections, from floor plans and pricing to construction progress, in three templates that carry your brand.
Where buyers spend their minutes across a project, section by section. Marketing learns which pages earn attention; sales learns what to lead with.
New leads get a 15 minute clock and hot leads get 30. Overdue calls turn red, and every call ends with a disposition.
Return visits, forwards, possible duplicates, share-link and campaign performance, a funnel per project, and a built-in assistant that answers only from your own numbers.
How it works
Veya reads the PDF and fills in configurations, price band, highlights, amenities, location, payment milestones and FAQs. Your team checks and edits.
Editorial, Metro or Atelier, in your colours. Pricing can stay hidden and the brochure can stay locked.
Each link is tagged to its owner, channel and campaign, with a QR field card for site and event days.
One OTP, then the whole project: plans, pricing, walkthrough, location. Call, WhatsApp and Book a visit are always one tap away.
Signals flow into Leads and My queue in real time. Owners see everything; each salesperson sees their own.
The data layer
Every event belongs to a phone-verified person, not an anonymous session. That one decision is what turns page analytics into buyer understanding.
Sections viewed and dwelt on, floor plans opened, gallery and walkthrough progress, pricing and payment plan, map use, FAQs, every Call, WhatsApp and visit tap.
section_dwell · floor_plan_open · price_view · video_complete · cta_call
Active minutes per section, visits and the gap between them, devices, forwards, and a preference for each configuration, tower and unit.
dwell per section · return gap · preferred unit
Transparent rules, not a black box: a decision window, a joint decision, possession anxiety, price sensitivity. Each one shows its reason in the product.
10 rules · explained in the UI
A next step, the best time to call, the opening line, and a place in the queue. The salesperson stays in charge of the call.
next best action · my queue · Ask AI
Research and the road ahead
We think the largest untapped dataset in Indian real estate is what buyers do between receiving a brochure and walking into a site office. Every verified journey in Veya can be followed through to a recorded outcome: a call, a visit, a booking, or a reason the deal was lost. That makes it possible to study home buying with evidence instead of instinct.
Now
Verified identity, section-level attention, forwards, return visits and plain-language rules. Outcomes are captured on every lead: call dispositions, visits, bookings and loss reasons. A built-in report already checks booking rates against how each lead was rated when first called.
Next
Models trained on real outcomes to estimate which journeys lead to a site visit and a booking, how early that can be known, and when to call. Calibrated, evaluated against held-out bookings, and always shown with the signals behind them.
Horizon
With consent and anonymisation, demand sensing across projects: which configurations, price bands and locations pull attention before launch, how behaviour differs between metros, Tier 2 and Tier 3 cities and NRI buyers, and what that means for pricing and inventory.
We welcome collaborators in behavioural economics, HCI, marketing science and applied machine learning who want to study how one of the world's largest housing markets makes decisions.
Why Veya
Developers already pay for tools that count visits and clicks in aggregate. None of them can say which phone-verified person studied which floor plan last night.
| Capability | Web analytics | Ad platforms | Real-estate CRM | Veya |
|---|---|---|---|---|
| Visitors and campaign source | Yes | Yes | Partly | Yes, per link and UTM |
| Page behaviour tied to a verified phone number | No | No | No | Yes, by OTP |
| Time on floor plans, pricing, amenities | Custom setup | No | No | Built in |
| Which configuration a buyer prefers | No | No | Typed in by hand | From what they viewed |
| Attribution that survives a WhatsApp forward | No | No | No | Yes, new OTP, original owner kept |
| Who to call today, with a timer | No | No | Manual rules | My queue |
Who it's for
Principles
A lead is a real mobile number confirmed by OTP. Page views and sessions are never counted as buyers.
Sales sees what a buyer did in plain words: sections viewed, minutes spent, visits, returns. Nothing hides behind a black box.
A forwarded link asks the new reader to verify. They become a new lead, the original salesperson keeps the credit, and the referrer is noted.
Buyers agree before they are contacted, and WhatsApp follow-up is opt-in. Owners see all; each agent sees only their own leads.
The company
Mission. Give every real-estate sales team visibility into each buyer's journey, from the first shared link to the site visit.
Vision. The brochure stops being where buyer visibility ends and becomes where buyer understanding begins.
Business model
Founders
Co-founder & CEO
Researcher turned product lead. Rohan leads go-to-market and keeps Veya close to how sales floors work every day.
Co-founder & CTO
Leads the Veya build. Has scaled AI infrastructure across several verticals, published HCI research at ACM EICS '20, and built computer-vision systems for gesture recognition and real-time navigation.
Bring one live project. We'll set up the page, give your team their links, and show you the first verified buyers within the week.