AI + WhatsApp Built for Real Estate

The qualified-buyer
demand engine.

AI that captures demand, qualifies every buyer in their own language, and delivers only sales-ready buyers to the seller. Turning wasted ad spend into closed deals.

The Problem

Sellers pay for demand —
and waste most of it.

Indian developers spend ₹38,000 crore a year generating leads. Most never convert — they die in the gap between a click and a closed sale.

₹38,000
Crore / Year
Indian real-estate marketing spend — most of it lost at the conversion step we own.
⏱️

Too slow

First reply takes hours. Real buyers cool down and message the next builder.

🗑️

Drowned in junk

Of 100 paid leads, ~15 are real. Teams burn their best hours on the other 85.

🙈

Flying blind

Sellers can't see which spend actually works, or whether buyers are mishandled.

The Solution

From signal to sale, automatically.

We qualify every buyer in seconds and hand the seller only sales-ready buyers — while every other lead is captured, scored, and nurtured in our demand graph.

1

Capture

Leads from ads, portals, and sites — unified in one place or generated on demand.

2

Engage

Instant WhatsApp reply, in fluent Telugu or English, at any hour of the day.

3

Qualify

AI extracts budget, timeline, and intent through natural conversational flow.

4

Route

Only verified, sales-ready, and budget-fit buyers reach the seller's internal team.

5

Nurture

Every other buyer is stored and re-marketed within our compounding Demand Graph.

6

Close

The sales rep receives a perfectly warmed buyer plus the verified land answer.

Why We Win

A compounding data moat,
not just a feature.

Commodity tools reply fast. None own what we accumulate. We own the conversation that actually converts.

The Demand Graph

Every qualified and unqualified buyer is scored and nurtured across sellers. No builder, CRM, or portal has this cross-venture view — and it compounds daily.

The under-budget and not-yet buyers don't get discarded. They become our proprietary asset.

Local Intelligence

Qualification tuned to Hyderabad micro-markets, plus a growing library of land-objection responses (HYDRAA, FTL, title fears) that actually win deals.

Hard to copy from the outside. A sourced answer wins at the decision moment.
Foundational Case Study

Governance Intelligence & Orchestration

Before building the Real Estate Demand Engine, we engineered the core AI orchestration layer to solve state-scale crisis coordination.

We built an AI system that sits above existing government early warning infrastructure. It reads data without writing to it and automatically translates incoming signals into parallel, department-specific action briefs.

Days to Mins
Response compression
₹6,000 Cr
Avg. Cyclone Damage Risk
The Vision

Real Estate is the beachhead.

The same engine — capture demand, AI-qualify, route only the ready, nurture the rest — works anywhere sellers waste expensive leads on high-consideration purchases.

🏢 Real Estate (Now)
🚗 Autos (Next)
🎓 Education (Next)
🛡️ Insurance (Next)
📊 Financial Markets (Testing)
The Team

Founder-led build,
operator-led distribution.

The rare pairing: someone who can build the AI, and someone who can open the doors.

Kapardhi
Founder & CEO, ARTHRYX Labs
Kapardhi Kannekanti

AI Engineer and product builder. Built ARTHRYX's multi-agent AI demand engine from the ground up. Experience building AI products across GovTech and FinTech. Leads Product, AI, and Engineering.

Distribution Partner
Veteran Operator

20+ years in Telangana & Andhra Pradesh real estate. Deep relationships with developers and channel partners. Leading initial pilot deployment and market access.