By Lina Irawan 
The Series F funding round was notably co-led by existing investors Andreessen Horowitz (a16z) and Bessemer Venture Partners, a testament to their continued belief in EliseAI’s trajectory. They were joined by new strategic investor Ontario Teachers’ Pension Plan, signaling a broader institutional recognition of the company’s potential. Additional participation came from existing investors Sapphire Ventures and Navitas Capital, cementing a strong vote of confidence from a diverse array of prominent venture capital firms. This marks the fourth time EliseAI has secured capital from both a16z and Bessemer since 2023, an unusual frequency that highlights the rapid growth and compelling narrative the company presents. The latest raise comes roughly 13 months after the company’s $250 million Series E, which valued it at $2.2 billion, demonstrating an accelerated pace of value creation in a market often characterized by cautious optimism, especially in the broader tech landscape. The fact that nearly all of EliseAI’s major existing investors also joined this round, which consisted entirely of primary capital – with no secondary sale for early investors or employees – further amplifies the signal of sustained growth and a collective focus on the company’s future expansion rather than immediate liquidity for stakeholders.
Minna Song, CEO and co-founder of EliseAI, attributed the explosive growth in the company’s valuation over such a short period not to a single fortuitous event, but rather to relentless execution and a deep understanding of customer needs. In an interview with Fortune, Song emphasized, “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.” This perspective highlights a disciplined approach to product development, market expansion, and customer success, which together have fueled a remarkable financial and strategic ascent. The consistent doubling of revenue, reaching over $200 million in annual recurring revenue (ARR) in June, further validates this operational excellence, marking its fifth consecutive year of such impressive growth.
The substantial new financing is strategically earmarked to propel product development, enabling EliseAI to push the boundaries of AI automation even further within its target sectors. Beyond innovation, a significant portion of the capital will be invested in expanding the company’s engineering, deployment, and sales teams across North America. This expansion is crucial for scaling its sophisticated AI solutions and ensuring seamless integration and adoption by a growing customer base. In a tangible sign of its growth and commitment to talent, the company plans to establish a second engineering hub in San Francisco. This West Coast presence will complement its impressive 109,000-square-foot New York headquarters, situated in Manhattan’s former Tiffany & Co. building on Fifth Avenue, which it moved into just this past summer. The dual-coast strategy aims to tap into diverse talent pools and foster innovation across key tech hubs.
EliseAI’s founding premise has always been decidedly contrarian by the prevailing standards of Silicon Valley. While many AI companies have chased the allure of horizontal tools designed for broad knowledge worker productivity, EliseAI deliberately charted a course into two of the economy’s most historically neglected, least glamorous, and heavily regulated corners: property management and healthcare administration. These sectors, characterized by thin operational margins and often archaic, phone-based bureaucratic processes, have notoriously resisted digital transformation and automation for decades. Song’s strategic insight was to recognize that true, impactful AI innovation could thrive precisely where traditional tech solutions had faltered.
"The industries where AI matters most are still not the ones getting the most attention," Song stated, articulating a core tenet of EliseAI’s philosophy. "Housing has enormous problems to solve, and we’ve grown by going deeper with our customers until we solve them at the root." This "go deeper" approach is rooted in Song’s initial "research phase," where she personally took a job at a real estate firm. This immersive experience allowed her and her co-founder to identify the fundamental bottlenecks driving high costs and operational inefficiencies before writing a single line of code. "We were really just looking for: what is the one bottleneck that’s happening in the industry?" she recounted. "If we could solve just that one bottleneck, it would make a difference." Over time, this focused inquiry expanded to encompass the vast spectrum of operational friction in leasing and resident services, demonstrating a commitment to comprehensive, rather than superficial, solutions.
Song argues that this same logic holds true across many of the economy’s most overlooked sectors. She posits a shift in the tech industry’s focus: "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. 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." This philosophy positions EliseAI as a pioneer in a new wave of enterprise AI, one that prioritizes tangible societal and economic impact over fleeting trends.
The stakes in these sectors, particularly housing, are framed by Song in terms of affordability, a critical concern for millions. The underlying data unequivocally supports her argument. Renter households earning under $30,000 annually face the steepest housing cost burdens in the country. A staggering 66.5% describe their burden as "severe," meaning they spend more than half their income on rent, according to a Congressional Research Service analysis of Census data. Further research by the Federal Reserve indicates that the median renter in the lowest income bracket allocates a distressing 56% of their monthly income to rent alone. These figures paint a stark picture of the economic precarity faced by a significant portion of the population, underscoring the urgent need for solutions that can alleviate these pressures.
Concurrently, landlords themselves are facing immense financial pressures from the other direction. National multifamily operating costs surged by 9.3% in a single year through mid-2023, translating to an additional $800 per unit annually. This increase was largely propelled by an alarming 18.8% spike in insurance costs, as reported by Yardi data cited by the Pension Real Estate Association. A separate Federal Reserve study revealed an even more dramatic trend: multifamily insurance costs alone rose by 75% in real terms between 2019 and 2024, climbing from $39 to $68 per unit per month. Critically, landlords absorbed roughly three-quarters of this increase through diminished profits, rather than fully passing it on to tenants, highlighting the delicate balance and tight margins within the industry.
The healthcare sector presents a similarly acute squeeze on consumers and providers alike. KFF polling indicates that 41% of U.S. adults carry some form of medical debt, a figure that encompasses obligations to credit cards, collections agencies, or even family members. This pervasive issue contributes significantly to financial stress and often deters individuals from seeking necessary care.
Song succinctly ties EliseAI’s mission to these pressing economic realities: "You can’t make housing meaningfully cheaper without making it cheaper to operate. 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." By automating the complex and labor-intensive back-office functions, EliseAI aims to reduce the operational overhead for landlords and health systems, ultimately creating pathways for greater affordability for consumers.
This approach has demonstrably scaled. EliseAI’s software now comprehensively automates critical functions for landlords, including leasing, resident services, maintenance requests, and lease renewals. The company proudly states that its platform currently powers approximately one in six apartments in the United States, indicating a substantial market penetration. More than 30 million Americans have interacted with EliseAI’s systems, a testament to its widespread adoption and impact. The company’s financial performance underscores this operational success, having surpassed $200 million in annual recurring revenue (ARR) in June, marking its fifth consecutive year of doubling revenue on a year-over-year basis.
Earlier this month, EliseAI unveiled Apollo, a significant leap forward in its product offering. Unlike traditional AI tools designed for narrow, specific functions, Apollo is envisioned as a single, intelligent AI agent capable of completing virtually any task across the entire Elise platform. Song described Apollo as emblematic of a broader paradigm shift she anticipates 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’s capabilities are designed to be proactive and adaptive. It "recognizes what needs to happen" and "takes actions within the permissions that it’s given." Crucially, this automation does not sideline human involvement; instead, it redefines it. "The humans don’t disappear," Song clarified. "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." This human-in-the-loop model ensures that critical decisions remain under human oversight while routine, repetitive tasks are efficiently managed by AI.
Safeguards are a cornerstone of Apollo’s design. Song stressed that "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." Similarly, for sensitive fair housing inquiries, Apollo will draft a response, flag relevant policy, and queue it for human review, but "it doesn’t get the final say." Moreover, when Apollo lacks sufficient information to act with confidence, it explicitly states so rather than making assumptions, a requirement ingrained since day one. Apollo operates strictly within the permissions of the person using it, with higher-stakes workflows incorporating more human checkpoints by design, ensuring both efficiency and accountability.
The same highly effective playbook developed in housing is now being rigorously applied to healthcare. A dedicated EliseAI healthcare business serves specialty physician groups, automating the entire patient journey. This includes everything from handling inbound calls and managing referrals to scheduling appointments, verifying insurance, preparing patient charts, and conducting follow-up communications. Much of this volume, across both housing and healthcare businesses, is channeled through phone calls, with EliseAI now handling approximately 5 million calls a month. This high volume of voice interactions has also fostered a close working relationship with OpenAI. "We’re one of the largest AI deployments at scale," Song noted. "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." This collaboration positions EliseAI at the forefront of AI-driven voice technology, continually refining its capabilities through real-world application.
Sameer Dholakia, a partner at Bessemer Venture Partners who will be joining EliseAI’s board with this funding round, offered an expert endorsement of the company’s approach. "EliseAI has spent years building inside the day-to-day complexity of housing," Dholakia stated. "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." This statement encapsulates EliseAI’s unique strength: the fusion of cutting-edge AI technology with profound industry-specific knowledge, resulting in solutions that genuinely resonate with customers and drive measurable improvements.
Despite the recent valuation jump and significant investor interest, Minna Song remained noncommittal regarding any specific timeline for a public offering. "We’re trying to focus on building the best business we possibly can," she affirmed. "I don’t think we have any specific timelines or definitive outcomes… we want to make a great outcome for everyone and all stakeholders." This measured approach reflects a long-term vision focused on sustainable growth and value creation.
EliseAI’s core argument for its outsized economic weight continues to resonate: housing and healthcare combined account for over 40% of what the average American household spends. By solving the deep-seated operational friction in these foundational sectors, EliseAI contends it can achieve a far greater and more durable economic impact than many productivity tools aimed at white-collar workers. The company is actively hiring across key North American cities, including New York, San Francisco, Boston, Chicago, Austin, and Toronto. This aggressive talent acquisition strategy aims to convert its recent funding into even deeper product capabilities and solidify its ambitious bet: that the most enduring and impactful AI businesses will ultimately be built not in the easiest or most fashionable industries, but within those traditionally considered the hardest to automate.
