Cadastral Raises $9.5 Million to Build Vertical AI Platform for Commercial Real Estate

Shared 6 February, 2026

Cadastral, Inc., an AI-native software company building vertically specific intelligence for the commercial real estate (CRE) industry, has announced that it has raised $9.5 million in funding from Navitas, JLL Spark Global Ventures, AvalonBay, Equity Residential, and 1Sharpe. The capital will be used to accelerate product development and expand go-to-market efforts as Cadastral builds the “AI analyst in a box” for real estate, private equity, and private credit.

“Harvey, Hebbia, Rogo, and others have built transformative AI platforms for their respective industries; real estate shouldn’t be left behind,” said Abhinav “Abe” Somani, CEO and co-founder of Cadastral. “Whether you’re in acquisitions, asset management, lease administration, occupier services, legal, lending, or capital markets, Cadastral offers a true one-stop-shop AI real estate analyst. We’re bringing institutional-grade AI agents to every real estate professional.”

Cadastral builds vertically specific AI tools and agents for commercial real estate workflows, including T-12 analysis, lease abstraction, loan compliance, acquisitions due diligence, and end-to-end underwriting. Unlike horizontal AI platforms, Cadastral is curated for CRE data, documents and decision-making processes.

“Every real estate organisation is considering its AI strategy at the moment, so the time is now,” said Jenny Song, Partner at Navitas Capital, the lead investor. “Our strong thesis is that vertical AI with true domain understanding is needed to capture value and win in the market. We’ve seen that play out across our prior investments, such as EliseAI, and we are starting to see it with Cadastral.”

“We’re really excited about what Cadastral is building and how quickly it has already scaled across a number of JLL use cases,” said Raj Singh, Managing Partner of JLL Spark Global Ventures. “The speed at which teams can get value from the product is extremely compelling.”

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