EliseAI, the New York AI company automating leasing offices and doctors’ clinics, announced on Tuesday a $350 million round at a $4 billion valuation, led by Andreessen Horowitz (a16z) and Bessemer Venture Partners — nearly doubling its price tag from a $250 million Series E thirteen months ago. The company statement, dated September 29, 2026, names Ontario Teachers’ Pension Plan, Sapphire Ventures, and Navitas Capital as participants, and earmarks the capital for automating more of its customers’ operations and growing its engineering, deployment, and sales teams across North America — with San Francisco planned as a second engineering hub alongside its New York headquarters.

The numbers tell a story of compounding execution rather than a single breakout. Per Fortune’s reporting, this is the fourth time a16z and Bessemer have led an EliseAI round since 2023, and the round consisted entirely of primary capital — no secondary sale for early investors or employees. Reuters reports the company said in June it had surpassed $200 million in annual recurring revenue, doubling revenue year over year for the fifth consecutive year, and was valued at $2.2 billion in its 2025 Series E. CEO and co-founder Minna Song credited the doubling to steady expansion rather than any single catalyst: “We’ve really expanded within the industries that we serve, housing and healthcare. We’ve delivered more and more products for them — increased the value that we’re bringing to our customers, and increased our penetration in the markets. Investors are seeing that.”

The pitch: the two most underserved industries

EliseAI’s framing is deliberately unglamorous. Housing and healthcare are the two largest expenses for American households, and, in the company’s words, among the industries least served by technology: thin margins, heavy regulation, and staff who spend most of their day on administrative work rather than on the people they serve. The pitch is that fixing how these industries operate is what makes them more accessible and affordable for the people who depend on them.

In housing, EliseAI builds AI for every stage of renting a home — leasing, resident services, maintenance, and renewals. The operators who first bought the platform to automate leasing conversations have, as capabilities expanded, asked it to take over broader operational processes driving staff productivity, resident satisfaction, and property performance. In healthcare, the company works with physician groups on patient intake, scheduling, insurance checks, referrals, and follow-ups — the clerical surface that keeps clinics from seeing more patients.

Modern apartment buildings
Housing is one of EliseAI’s two core markets: the company automates leasing, resident services, maintenance, and renewals. Photo: Vecteezy.

Why investors are paying up for workflows

The funding underscores a shift in where AI capital is going: toward companies that automate complex, industry-specific workflows rather than selling generic model access. As Reuters notes, businesses are hunting for efficiency and lighter administrative workloads — and the Bank of America Institute reports AI spending growth among mid-sized firms peaked in August, with adoption concentrated in service industries such as healthcare and education to automate administrative tasks, documentation, and communication.

That backdrop helps explain the doubling. EliseAI is not a model lab racing on benchmarks; it owns the workflows inside two sectors where labor costs dominate and software has historically underdelivered. Primary-only capital — the new money goes to the company, not to cashing out early holders — signals the round is about scaling those operations, not harvesting them.

Modern hospital corridor
In healthcare, EliseAI serves physician groups on intake, scheduling, insurance checks, referrals, and follow-ups. Photo: pfb.info.pl.

What to watch

Two things to track from here. First, whether the San Francisco engineering hub and the expanded deployment teams translate the $4 billion valuation into market share across property managers and physician groups — the execution thesis Song described to Fortune. Second, whether the vertical-AI playbook keeps commanding premium valuations as the broader AI capital story tilts toward infrastructure: the biggest checks this year have been going to compute, power, and data centers, and workflow software will need continued revenue compounding to justify lab-grade multiples.