EliseAI offers a SaaS platform that automates conversations and scheduling for businesses, with modules that connect to PMS, CRM, and calendar tools to keep data in sync. In real estate, it handles inquiries, lead qualification, tour scheduling (including self-scheduling) and virtual tours, while in healthcare it manages patient inquiries and appointment bookings. The system integrates with third-party apps and tracks outcomes such as 50% of tour appointments driven by its AI and 27% after-hours bookings. Its goal is to reduce manual work and speed up customer interactions to improve operational efficiency and satisfaction.
Company Size
501-1,000
Company Stage
Series F
Total Funding
$741.9M
Headquarters
New York City, New York
Founded
2017
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Equity in the company in the form of stock options
Medical, Dental and Vision premiums covered at 100%
Fully paid parental leave
Commuter benefits
401k benefits
Monthly fitness stipend
Fun company social events through our Elise and the City program
Unlimited vacation and paid holidays
EliseAI has been named a co-development partner with Nextech to expand AI voice agent capabilities for specialty medical practices. The partnership will integrate EliseAI's voice technology more deeply into Nextech's EHR and practice management software, which serves ophthalmology, dermatology, and orthopaedics practices. EliseAI's voice agents handle patient calls in over 30 languages, managing scheduling, rescheduling, and appointment cancellations whilst reading and writing directly into Nextech systems. The company's platform currently supports thousands of providers and processes more than 20 million conversations monthly. Practices using EliseAI have seen a 12% increase in patients booked, 8% fewer no-shows, and over 40% of lapsed patients booking appointments through recall outreach. EliseAI crossed $200 million in annual recurring revenue in 2026, marking five consecutive years of 100% year-over-year growth.
EliseAI's $350 million raise at a $4 billion valuation puts vertical AI for housing and healthcare to the test. EliseAI has raised $350 million at a $4 billion valuation, a big private-market bet that AI will create durable value not by answering open-ended prompts but by taking over repetitive, regulated work inside apartment operations and healthcare administration. The round, announced Sept. 29, matters because it suggests investors are rewarding distribution, workflow coverage and revenue in essential services over the more familiar story of model demos and chatbot novelty. The question behind the headline is simpler than the financing mechanics: is EliseAI showing that vertical AI can genuinely improve the economics of housing and healthcare, or are investors paying ahead of proof that those gains reach renters, patients and workers rather than just owners, providers and the vendor itself? Why this round stands out. EliseAI said the financing was led by Andreessen Horowitz and Bessemer Venture Partners, with participation from Ontario Teachers' Pension Plan, Sapphire Ventures and Navitas Capital. According to Fortune, the round consisted entirely of primary capital and nearly doubled the company's valuation from the $2.2 billion attached to its $250 million Series E about 13 months earlier. That matters for two reasons. First, primary capital means the money is going into the company rather than mainly to existing shareholders cashing out. Second, the valuation implies that investors believe EliseAI has moved beyond experiment status. The company says it now generates more than $200 million in annual recurring revenue, a figure that has not been publicly audited, and reaches 6.5 million housing units. In its own Sept. 29 announcement, EliseAI described that footprint as one in five U.S. multifamily apartments; a syndicated company release described it as one in six. Either way, the claimed reach is large enough to make the company more than a niche tool. EliseAI says it will use the new money to expand product development and grow engineering, deployment and sales across North America, including a second engineering hub in San Francisco alongside its New York headquarters. That hiring plan fits the business it has built. EliseAI was founded around operational workflows in property management and healthcare administration, not as a general-purpose assistant. Its products handle leasing, resident communications, scheduling and other repetitive service and back-office processes, and the company says it is pushing further into day-to-day operations. The case investors are buying. The strongest argument for EliseAI is not that it has a flashier model than everyone else. It is that narrow, industry-specific automation can be harder to replace once it is embedded in the messier parts of real work: routing inquiries, handling follow-ups, scheduling, intake, document collection and escalating exceptions to humans. That is the core vertical-AI pitch. In sectors like housing and healthcare, the value sits less in raw model performance than in integrations, workflow rules, operational data and the ability to expand inside an account after landing an initial use case. A landlord or healthcare operator is not buying a chatbot for entertainment. They are buying fewer missed calls, faster responses, better coverage after hours, more consistent follow-up and, ideally, a measurable lift in revenue or operating efficiency. EliseAI is presenting exactly that story. In its Sept. 29 announcement, the company said that across the units it serves, occupancy is two percentage points higher, residents are seven percentage points more likely to renew and net operating income rises by as much as 20%. If those gains hold up, they would help explain the valuation. A vendor that can reliably improve occupancy and renewals at scale becomes part of the economic engine of a property, not just another software line item. The same logic applies in healthcare administration, where missed messages, scheduling bottlenecks and intake delays can be expensive and frustrating. Here too, the attraction is not novelty. It is throughput. What the valuation does not settle. The problem is that the most important operating claims are still claims. The public record does not spell out the methodology behind EliseAI's occupancy, renewal or NOI figures, and it does not show the sample size, time period, comparison group or statistical controls. A stronger property cohort, local market conditions, pricing changes or broader service improvements could help produce the same results. That does not make EliseAI wrong. It does mean the round should be read as a market signal, not as independent proof. The same caution applies to reach and revenue. More than $200 million in ARR and millions of covered units indicate real distribution, but they do not answer the questions enterprise buyers should care about next: retention, gross margin, customer concentration, implementation cost, contract length, churn and how much of the business comes from housing versus healthcare. None of that was disclosed in the announcement. There is also the human side of automation. Property management and healthcare administration are full of repetitive tasks, but they also involve fair-housing obligations, personal and medical information, and situations where a scripted response is not enough. A system that handles high volumes of messages can improve speed while still creating new risks if its classifications, routing or communications are wrong. At scale, a small error can propagate across many properties or care sites before anyone catches it. That is why the real diligence questions are operational, not theatrical. How much of the workflow is automated? How often are exceptions kicked to a human? How fast can staff audit or reverse a bad routing decision? What controls govern data access? In housing, how are automated communications tested for fair-housing compliance, and what is the appeal path for a resident who believes the system got something wrong? In healthcare, where the public materials are thinner on compliance details, what is reviewed by people, what is logged, and who is accountable for high-impact administrative decisions? Who is likely to benefit. Investors clearly see a company with traction in hard-to-serve industries. Fortune reported this was the fourth financing involving a16z and Bessemer since 2023, a sign that existing backers believe the company's distribution advantage is strengthening. EliseAI also says its revenue has doubled year over year for five consecutive years, which, if sustained, would help explain why fresh capital arrived at a sharply higher price. But the next phase of the story is less about whether AI can answer leasing or scheduling inquiries and more about who captures the productivity it creates. Owners and providers may gain higher occupancy or lower administrative cost. The vendor may gain pricing power if it becomes deeply embedded. Frontline staff may be pushed into higher-value exception handling, or see hours reduced. Renters and patients may get faster responses, or they may find it harder to reach a person when the automated path fails. That is the lasting significance of EliseAI's raise. It shows that private capital is ready to treat vertical AI in essential services as infrastructure. What it does not yet show, at least in the public record, is how consistently the gains are measured, how widely they are shared, or how safely the system behaves when the workflow stops being routine. For landlords, healthcare operators and enterprise buyers, the useful scorecard now is not just ARR and valuation, but retention, workflow coverage, escalation rates, implementation time, compliance controls and independently measured outcomes. Emily Johnson, a seasoned journalist with a penchant for tech innovations and digital culture, has been enlightening BizTech Weekly's readers since its inception. With a background in computer science and a master's in journalism, Emily bridges the gap between complex tech concepts and everyday usability, making her columns a must-read for tech enthusiasts and novices alike.
AI startup EliseAI valued at $4 billion in latest funding round. Sept 29 (Reuters) - EliseAI said on Tuesday it was valued at $4 billion following its latest funding round, which nearly doubled the housing and healthcare-focused AI company's va...
EliseAI Raises $350 Million at $4 Billion Valuation to automate more customer work. The company plans to grow its engineering and deployment teams and establish a second engineering hub in San Francisco. The audio brief. About 1:36 Read transcript Story brief. 3 key points EliseAI is using fresh capital to push beyond leasing and communications toward completing more operational work for housing providers and specialty medical groups. The $350 million round, led by Andreessen Horowitz and Bessemer Venture Partners, values the company at $4 billion. EliseAI plans to invest in products and expand engineering, deployment and sales teams, including a second engineering hub in San Francisco. The round sets no timetable or industry-by-industry budget, so progress will depend on turning those plans into completed customer tasks. * 01 EliseAI said in June that annual recurring revenue exceeded $200 million after five consecutive years of doubling year over year. * 02 The company says its platform powers one in six U.S. apartments; that figure describes its existing business, not the expansion funded by this round. * 03 Apollo, launched earlier in September, is an AI agent designed to perform tasks across EliseAI's platform within property teams' existing systems. EliseAI has raised $350 million at a $4 billion valuation, giving it capital to pursue a bigger role in the daily operations of housing providers and healthcare practices. The September 29 financing backs a shift the company has already begun: moving beyond its initial work in leasing and resident communications. The backers and the business so far. Andreessen Horowitz and Bessemer Venture Partners led the round. Ontario Teachers' Pension Plan, Sapphire Ventures and Navitas Capital participated. Bessemer partner Sameer Dholakia joined EliseAI's board as part of the financing. EliseAI said in June that it had surpassed $200 million in annual recurring revenue after doubling revenue year over year for five consecutive years. It also says its platform powers one in six U.S. apartments. Those are company-reported measures of its existing business, not results of the expansion this round will fund. From conversations to completed tasks. Housing operators initially used EliseAI for leasing and resident communications. The company says its platform now covers resident services, maintenance and renewals. Earlier in September, it launched Apollo, an AI agent that EliseAI says can carry out tasks across its platform within the systems property teams already use. Apollo predates this financing; it shows the kind of broader operational work the company wants to pursue. In healthcare, EliseAI serves specialty physician groups. It describes software for administrative work from inbound calls and scheduling through insurance verification, chart preparation and follow-up. Housing and healthcare involve different customers, but the company's stated approach in both is to take on more of the work that surrounds their core services. Every year our customers trust us with more of their operations, and that kind of trust is only earned by a company built to last. Minna Song, EliseAI co-founder and CEO The next investment is in delivery. EliseAI plans to use the new money to develop products, automate more customer operations and grow its engineering, deployment and sales teams across North America. It also plans to establish San Francisco as a second engineering hub alongside its New York headquarters. Those hires and the hub are plans, not completed expansions. The financing does not specify how much will go to each industry or set a timetable for a wider rollout. The next measure of the investment will be whether EliseAI can turn its hiring and product plans into more completed work for customers in both settings. Sources. * globenewswire.comEliseAI Raises $350 Million at $4 Billion Valuation to Bring AI Deeper Into Housing and Healthcare Operations
AI housing unicorn EliseAI hits $4 billion valuation in new funding round led by a16z and Bessemer. 5 6 minutes read EliseAI, the artificial intelligence company that automates back-office work for landlords and health systems, has raised $350 million at a $4 billion valuation, the company told Fortune, nearly doubling its valuation from just over a year ago. The funding round was co-led by existing investors Andreessen Horowitz (a16z) and Bessemer Venture Partners, as well as new investor Ontario Teachers' Pension Plan, with participation from existing investors Sapphire Ventures and Navitas Capital. It marks the fourth time EliseAI has raised capital from the two VC firms since 2023, and comes roughly 13 months after the company's $250 million Series E valued it at $2.2 billion. Nearly all of EliseAI's major existing investors also joined the round, which consisted entirely of primary capital - there was no secondary sale for early investors or employees, according to CEO and co-founder Minna Song. "We're bringing on our existing investors who wanted to co-lead - Andreessen Horowitz and Bessemer Ventures," she told Fortune in an interview. "They've really been up close and personal with our company over the last year and decided to double down on what we're building." Asked to explain the explosive growth in the company's valuation in just over a year, Song credited execution rather than any single catalyst: "It's a result of the effort of our whole team. 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 new financing will fund product development and expand EliseAI's engineering, deployment, and sales teams across North America. The company also plans to open a second engineering hub in San Francisco, alongside its New York headquarters - a 109,000-square-foot office in Manhattan's former Tiffany & Co. building on Fifth Avenue, which it moved into this summer. Betting on the industries tech forgot. EliseAI's pitch has always been contrarian by Silicon Valley standards: instead of chasing horizontal AI tools for knowledge workers, it went after two of the least glamorous, most heavily regulated corners of the economy - property management and healthcare administration - where thin margins and phone-based bureaucracy have resisted automation for decades. "The industries where AI matters most are still not the ones getting the most attention," said Song. "Housing has enormous problems to solve, and we've grown by going deeper with our customers until we solve them at the root." Recounting a story she has often shared before, Song took a job at a real estate firm - a "research phase," as she described it, to discover what was actually driving high costs and operational inefficiency in the industry before she and her co-founder wrote any code. "We were really just looking for: what is the one bottleneck that's happening in the industry?" she said. "If we could solve just that one bottleneck, it would make a difference." Over time, that expanded to encompass most of the operational friction in leasing and resident services. Song argues the same logic now applies broadly across the economy's most overlooked sectors. "For a while with traditional software, people were working on the most fundamental needs... and then we got into this obsession with creating new markets," she said. "Now people are starting to realize we can go back to some of those industries that don't seem like the new, sexy, industry-creating thing, but they still have a ton of problems. It's time to go solve the important things that have largely been unchanged for decades." Song frames the stakes in affordability terms, and the underlying data back her up. Renter households earning under $30,000 a year face the steepest housing cost burdens in the country. In fact, 66.5% describe it as "severe," spending more than half their income on rent, according to a Congressional Research Service analysis of Census data, with the median renter in the lowest income bracket paying 56% of monthly income toward rent alone, per Federal Reserve research. Meanwhile, landlords have been squeezed from the other direction. National multifamily operating costs rose 9.3% in a single year through mid-2023, adding more than $800 per unit annually, driven largely by an 18.8% spike in insurance costs, according to Yardi data cited by the Pension Real Estate Association. A separate Federal Reserve study found multifamily insurance costs alone rose 75% in real terms between 2019 and 2024 - from $39 to $68 per unit per month - with landlords absorbing roughly three-quarters of that increase through lower profits rather than passing it fully to tenants. Healthcare shows a similar squeeze: 41% of U.S. adults carry some form of medical debt, according to KFF polling, a figure that includes debt owed to credit cards, collections agencies, or family members. "You can't make housing meaningfully cheaper without making it cheaper to operate," Song said. "Making care more affordable means making it less expensive to deliver... it really all fundamentally has to be cheaper to deliver. That's where AI can have a very tangible impact." That approach has scaled. EliseAI's software now automates leasing, resident services, maintenance requests, and lease renewals for landlords, and the company says its platform now powers roughly one in six apartments in the United States, with more than 30 million Americans having interacted with it. EliseAI said it surpassed $200 million in annual recurring revenue in June, marking its fifth consecutive year when revenue doubled on a year-over-year basis. From Apollo to healthcare. Earlier this month, EliseAI launched Apollo, a single AI agent designed to complete any task across the Elise platform rather than handle one narrow function. Song described Apollo as part of a broader shift she sees happening across enterprise software: "Historically, software has been reactive, and the human has to navigate all the software and tell it what to do. AI is a new application layer - instead of having people navigate dozens of systems and workflows, the AI is just doing it for them." Apollo, she said, "recognizes what needs to happen" and "takes actions within the permissions that it's given," while humans remain involved for anything requiring judgment: "The humans don't disappear. They're still there when something requires judgment or nuance or the human touch. But the AI is handling more and more of the operations and just knows when to bring the person in." Still, she stressed the safeguards built into Apollo: "anything that ends in a binding decision such as approving or denying an application, sending a formal notice or signing off on a lease term, tasks like that still go through a person." It's the same with fair housing calls, for instance. Apollo will draft a response, flag the relevant policy, and queue it up, "but it doesn't get the final say. And when it doesn't have enough information to act with confidence, it says so instead of guessing. That's been a requirement since day one." Apollo only ever acts within the permissions of the person using it, Song said, with the higher-stakes the workflow, the more a human checkpoint is built in by design. The same playbook is now being run in healthcare. A dedicated EliseAI healthcare business serves specialty physician groups, automating the full patient journey - inbound calls through referrals, scheduling, insurance verification, chart preparation, and follow-up. Much of the volume runs through phone calls: EliseAI now handles roughly 5 million calls a month across its housing and healthcare businesses combined, Song said. The company has also been working closely with OpenAI, testing new voice capabilities at scale. "We're one of the largest AI deployments at scale... it's really great because they're working a lot on voice, and we can test their new things quickly. It's a win-win for both parties." "EliseAI has spent years building inside the day-to-day complexity of housing," said Sameer Dholakia, a partner at Bessemer Venture Partners who is joining EliseAI's board with this round. "The company combines exceptional AI research and engineering with a detailed understanding of how properties operate. That depth has produced measurable results for their customers, leading to deep customer love." What to watch. Despite the valuation jump, Song was noncommittal on any path to a public offering. "We're trying to focus on building the best business we possibly can," she said. "I don't think we have any specific timelines or definitive outcomes... we want to make a great outcome for everyone and all stakeholders." Housing and healthcare together account for more than 40% of what the average American household spends, a fact EliseAI has leaned on to argue that solving operational friction in these sectors carries outsized economic weight compared with productivity tools aimed at white-collar workers. The company is hiring across New York, San Francisco, Boston, Chicago, Austin, and Toronto as it works to convert its funding into deeper product capability - and a bigger bet that the most durable AI businesses will be built inside the industries that have been hardest, not easiest, to automate.