Truva, a full-stack proptech platform focused on India’s resale housing segment, has raised $9 million in a funding round led by Stellaris Venture Partners and Orios Venture Partners.
The round also includes $1.7 million in venture debt from Stride Ventures, supporting the company’s capital-intensive, operations-driven model.
Tackling a Fragmented Market
India’s resale housing market remains large but highly fragmented and often lacks transparency. Truva aims to address these challenges through a full-stack approach that goes beyond simple property listings.
Unlike traditional platforms such as MagicBricks or 99acres that primarily facilitate discovery, Truva manages the transaction lifecycle end-to-end. This includes property verification, legal due diligence, and closing support—helping reduce the trust gap in secondary real estate transactions.
The company reports a 6X year-on-year growth, indicating strong demand for managed real estate solutions.
Expansion Plans
With fresh capital, Truva plans to scale its presence across key urban markets, including Mumbai, Delhi NCR, and Bengaluru—regions that account for a significant share of India’s resale property activity.
The startup is targeting a gross merchandise value (GMV) of ₹1,500 crore over the next 12 months as it expands its footprint.
Strong Investor Backing
In addition to institutional investors, the round saw participation from prominent angel investors such as Mukesh Bansal (Cult.fit, Myntra), Ramakant Sharma (Livspace), and Aakrit Vaish (Haptik).
Their involvement adds operational depth and signals confidence in Truva’s execution strategy in a complex, high-value market.
Why It Matters
India’s proptech ecosystem has largely focused on search and discovery. Truva’s model reflects a shift toward transaction enablement and trust-building—key friction points in the resale housing segment.
By taking control of verification, legal processes, and deal execution, the company is positioning itself as a more reliable alternative in a market where transaction sizes are high but consumer confidence is often limited.
