EliseAI Valuation Hits $4B at Roughly 20x ARR After $350M Round

What happened

EliseAI, the New York company whose AI agents handle back-office work for landlords and health systems, has raised $350 million at a $4 billion valuation.15 The new mark nearly doubles the $2.2 billion valuation from its $250 million Series E roughly 13 months earlier.12 One analysis labels the new round a Series F and dates the announcement to September 29, 2026.3

Andreessen Horowitz and Bessemer Venture Partners led the round. Accounts differ on how to describe the role of Ontario Teachers' Pension Plan, a new investor. Fortune lists the pension fund as a co-lead alongside the two venture firms.1 Other coverage describes it as a participant, along with existing backers Sapphire Ventures and Navitas Capital.2 Either way, nearly all of EliseAI's major existing investors came back. This is the fourth time since 2023 that the company has raised from a16z and Bessemer.12

CEO and cofounder Minna Song said the round was entirely primary capital. All of the money goes to the company, and none of it buys out existing shareholders.12 Part of it will fund a second engineering hub in San Francisco.5

The numbers behind the price

The valuation rests on steady, compounding growth. In June, EliseAI said it had passed $200 million in annual recurring revenue and had grown 100% year over year for the fifth consecutive year.4 Its software now runs on roughly one in six U.S. apartments and handles about 5 million calls a month. The work covers leasing inquiries, maintenance scheduling, and renewal paperwork.23

Dividing $4 billion by just over $200 million in ARR gives a multiple of roughly 20 times recurring revenue. If ARR has kept growing since the June milestone, the real multiple is somewhat lower. That figure is the most useful lens on the deal.

A company doubling revenue every year could plausibly command a richer multiple in the current AI funding climate. On this reading, investors are paying a meaningful premium for EliseAI's growth, but not the most aggressive prices seen in the hottest parts of the AI market. The valuation also roughly tracks revenue: both doubled over about a year.34 That suggests the price is pegged to performance more than to expanding multiples.

Why the multiple looks restrained

Several features of EliseAI's profile help explain the price.

It is not a young company. EliseAI was founded in 2017, and one analysis describes its build as slower than the typical venture-backed AI company.3 Song and cofounder Tony Stoyanov spent years in the trenches before the current wave of generative AI. Song even took a job at a New York real estate firm before writing code, to find the industry's costliest bottleneck.2 That history makes EliseAI look more like a vertical software company that adopted AI early than a newly minted AI-native lab.

Its markets are unglamorous. Song has argued that "the industries where AI matters the most are not the ones getting the most attention."4 Property management and healthcare administration are large, fragmented, and slow-moving. Investors may value them more cautiously than horizontal tools or foundation-model plays, even when growth is comparable.

The growth is durable rather than explosive. Five straight years of doubling is rare at this scale, as the company itself points out.4 But it is a different profile from startups that leap from near-zero to nine figures in revenue within a year or two. Those companies tend to attract the most speculative pricing.

What it signals

This is my interpretation, not something the sources state. The round looks like a vote of confidence from insiders that is priced with some discipline. Existing backers kept reinvesting, and all the money went to the company rather than to early shareholders cashing out.1 Both point to conviction in the business.

A large pension fund also joined the round.12 Institutions like that tend to favor companies with clearer paths to scale and eventual liquidity. That fits a company with recurring revenue and deep integration into customers' operations.

The risk lies in the same embeddedness the company highlights. Song says the product "becomes more valuable the deeper it is embedded."4 For the thesis to hold, EliseAI has to deliver on two fronts:

• keep its pace in housing, where it already covers a large share of the market
• prove that its expansion into healthcare can become a second engine of comparable size

One analysis explicitly flags factors that could break the thesis.3

For now, a roughly 20x multiple on fast, compounding revenue looks less like froth and more like a measured bet. Backers are paying a premium for durable growth in overlooked industries, and they are doing so without abandoning traditional software valuation logic.