Case study · Real Estate
Griya
Griya
Real estate, without the guesswork.
Platforms
- Web
- Apple
- Android
Services
- UI/UX Design
- Product Development
- AI/ML Engineering
- Product Architecture
- DevOps Engineering
- Data Infrastructure
- Regulatory Compliance
Overview
Most Indian real estate runs on handshake economics — opaque paperwork, unverifiable claims, and intermediaries who profit from the fog. Buyers gamble. Sellers stall. The trust problem isn't cosmetic; it's structural.
Griya fixes that. Not with another discovery platform that just speeds up the search for broken inventory, but with verification-first infrastructure that actually fixes the transaction.
Unbound Apps built the technical stack that makes this possible: AI-native systems that verify rather than just catalogue, value rather than just list, and close rather than just handshake.
Impact
Since traction metrics are pre-launch bullshit, here's what actually matters: two technical innovations that change how property gets done.
AI + Blockchain Verification (Not "Trust Scores")
Griya doesn't do "trust scores" — that's broker-speak for "we're not liable." Our system does binary verification: verified or not verified. Computer vision that scans listing images for inconsistencies. NLP that reads descriptions against property records. Blockchain that creates immutable proof that said verification actually happened.
No hand-wavy percentages. Just proof.
Direct-to-Consumer + Full-Fulfillment (Not "Discovery")
Every other platform stops at discovery because that's where the easy money is. Griya owns the entire transaction stack — search, verification, valuation, docs, payment, closing. This isn't vertical integration for efficiency; it's structural integrity against a broken market.
Verification-First Architecture
Search-first platforms optimise for inventory. Griya optimises for truth. Our AI engine processes thousands of data points per listing — not to rank them prettier, but to verify them cleaner.
The system was built for two validated personas: "Priya" (domestic relocator, Nagpur → Mumbai, 40 homes viewed, couldn't verify title on any of them) and the returning NRI buyer (regulatory headaches, trust barriers, zero local context).
This isn't UX polish. It's mechanical integrity.
AI Valuations That Actually Work in India
Most valuation engines are trained on Western markets with clean data. Ours is trained on Indian reality: fragmented records, regulatory constraints, and market dynamics that make textbook models worthless.
What makes it work: RBI/FEMA compliance isn't bolted on; it's built in. The system knows which valuations are actually actionable under foreign investment rules versus which ones are academic exercises.
End-to-End Transaction Stack
Griya doesn't hand you off to brokers after the easy part. The platform handles:
Search → Verification → Valuation → Docs → Payment → Closing in one integrated system.
This eliminates the fragmentation that lets intermediaries insert themselves (and their fees) at every handoff point.
Built to scale: Mumbai launch, then Southeast Asia and North Africa through FutureBuild partnerships.
Architecture That Doesn't Break at Scale
Modern cloud infrastructure, microservices, enterprise-grade security all hosted on Amazon AWS. The technical roadmap includes property tokenization (3-5 years) because we're building for where the market goes, not where it stagnates.
