EliseAI, an artificial intelligence startup that automates leasing and resident communications for property managers, is in advanced talks to raise a new funding round at a valuation of $3.7 billion, according to Business Insider Africa. The size of the round and the identity of the lead investor have not been disclosed, but the talks place EliseAI firmly among the most highly valued proptech companies globally.
Founded in 2017 by Minna Song and Tony Stoyanov, EliseAI has built a platform that uses large language models to handle the repetitive, high-volume communications that property management companies generate — from initial leasing inquiries to maintenance follow-ups. The company counts some of the largest residential landlords in the United States among its clients, operating at a scale that gives it the data flywheel advantages critical in enterprise AI.
The $3.7 billion figure represents a significant step up from EliseAI's previous fundraising trajectory. The company raised a $75 million Series D round in 2024 at a valuation of roughly $2 billion, meaning the new round, if completed at the reported terms, would nearly double that figure within little more than a year. Prior backers include Navitas Capital, Koch Real Estate Investments, and Point72 Ventures, among others — a mix of real-estate-specialist and generalist technology investors that reflects how seriously the industry is treating AI-driven property operations.
The timing is instructive. After a two-year cooldown in proptech funding globally — driven by rising interest rates that hammered real estate transaction volumes and compressed developer margins — investor appetite has begun to recover, particularly for software businesses that sell recurring subscriptions to asset managers rather than taking direct exposure to property values. EliseAI sits squarely in that category: its revenues are tied to the number of units it manages communications for, not to whether those units are appreciating.
For African investors and operators tracking this deal, the EliseAI story carries a specific lesson about where AI infrastructure capital is concentrating. The continent's own proptech sector — companies like South Africa's Flow, Nigeria's Spleet, and Kenya's Digihut — remains subscale by comparison, largely because institutional landlordism (the kind that generates the volume of standardised communications EliseAI automates) is still nascent outside of a few commercial markets in Lagos, Nairobi, and Johannesburg. But as African cities densify and build-to-rent models begin to take root, the unit economics that make EliseAI's model attractive in the US will eventually apply here too.
The broader funding context matters. Globally, AI startups attracted record venture capital in 2024, with proptech remaining a secondary but active vertical. A $3.7 billion valuation for EliseAI would put it ahead of most publicly traded proptech peers on a revenue-multiple basis — a reminder that private AI companies are being priced on trajectory and defensibility of data moats, not current earnings.
What the money is likely for: at this valuation and stage, a new round would almost certainly fund expansion into adjacent property verticals (commercial real estate, short-term rentals, HOA management), deeper model training on proprietary lease and communication data, and the enterprise sales headcount needed to move upmarket toward the largest institutional owners. EliseAI reportedly manages communications for hundreds of thousands of units; scaling that to millions requires both infrastructure and sales investment.
Why it matters: A $3.7 billion AI proptech valuation in a still-uncertain rate environment tells operators and investors that demonstrable enterprise revenue plus a proprietary data moat can command a premium even when the underlying asset class is under pressure — a formula that Africa's nascent proptech builders should study closely as they design their own go-to-market and data strategies.