Selling a home in India's residential resale market is a months-long exercise in uncertainty. Sellers cannot reliably predict what price the market will support. Buyers struggle with verification, information quality, and transaction security. And the gap between listing and close is filled with manual processes that vary depending on who handles the deal.
Noida-based Proho has raised $1 million in pre-seed funding to fix that with AI. The round was led by Bharath Vivek Chandhok with participation from other backers, and positions Proho as an early mover in a segment of Indian real estate that has seen limited technology disruption despite the $60 billion annual market size.
What Proho Actually Does
Proho operates as a guaranteed sell platform. The company uses AI-driven, unit-level valuation models that analyze historical transactions, live market signals, and buyer engagement data to understand pricing dynamics within specific micro-markets. That pricing intelligence is paired with a structured execution system - the platform handles refurbishment coordination, buyer matching, and transaction completion rather than simply listing properties.
The result, the company claims, is some of the fastest home sale turnaround times in key Noida micro-markets while maintaining strong unit economics. For sellers, the value is predictability: once a home is prepared and positioned correctly, the platform drives the transaction to close rather than leaving it to wait for the right buyer to find it organically.
The Team Behind It
CEO Saurav Suman is an IIT Bombay alumnus and repeat entrepreneur who co-founded Pocket52, India's first online poker network, which was acquired by Gameskraft. His path to real estate came through personal experience as an investor - direct exposure to the inefficiencies of residential resale gave him the problem statement. Co-founder Alaukik Kumar is also an IIT Bombay alumnus with product experience at Bewakoof and PDI. Shalin Gandhi brings over a decade of technology leadership from Pocket52, Gameskraft, and Yubi.
The founding team's combination of consumer internet scale, fintech execution, and direct real estate investing experience is well-suited to a problem that sits at the intersection of data infrastructure, transaction execution, and buyer trust.
Why This Market, Why Now
India's residential resale market is large, fragmented, and historically underserved by technology. Group bookings and resale transactions share a common thread: high-value, infrequent decisions that involve significant uncertainty and have resisted digitization because the complexity made it impractical. AI valuation models that can operate at micro-market granularity change that calculus. For investors tracking where AI is creating durable value in emerging markets, Proho is an early example of the pattern: a team with direct domain experience using AI to compress uncertainty in a transaction category that traditional platforms have not solved.
