EliseAI has raised $350 million at a $4 billion valuation, doubling its worth since its Series E last August. The round, co-led by Andreessen Horowitz and Bessemer Ventures, signals continued investor appetite for vertical AI companies that automate back-office work in specific industries.
The New York-based startup, founded in 2017, builds software for housing and healthcare companies. It says its tools are used by 1 in 6 apartments across the U.S. and passed $200 million in annual recurring revenue this summer.
How EliseAI operates
EliseAI automates administrative and operational work. On the housing side, that covers leasing, maintenance, and renewals. Earlier this month, the company launched Apollo, an AI "teammate" that works inside the existing EliseAI platform.
"It's built natively into the same platform that already runs leasing, maintenance, and renewals," co-founder and CEO Minna Song told TechCrunch. "So it can act across every role on a property team."
On the healthcare side, the software handles patient-related paperwork for specialty physician groups. That includes inbound calls, referrals, scheduling, insurance verification, chart prep, and follow-up. Song said the company chose housing and healthcare because they are two of the "largest expenses for American households."
What the funding signals
A doubling in valuation within roughly a year is notable even in a competitive AI funding market. EliseAI's focus on narrow, repeatable workflows sets it apart from general-purpose chatbot companies. Investors are backing firms that show revenue tied to specific operational pain points.
For teams evaluating AI agent courses or internal automation projects, EliseAI's trajectory offers a useful reference point: adoption at scale in a fragmented, document-heavy industry takes years, not months.
Why this matters for operations and real estate professionals
If your organization manages properties, patient intake, or high-volume administrative workflows, EliseAI's growth suggests that purpose-built automation is moving from pilot to standard practice. The company's $200 million ARR figure means a large base of paying customers now runs core processes through AI - not just experiments.
For real estate and construction teams, the relevant question is whether your current leasing and maintenance stack can integrate an AI layer or whether you'll need to replace it. Structured training, such as AI for Real Estate courses, can help teams assess where automation fits without overcommitting to unproven tools.
Your membership also unlocks:
