EliseAI Secures $350M at a $4B Valuation

EliseAI, the AI startup founded in 2017, has raised $350 million at a $4 billion valuation. The valuation is double the level reached in the company’s Series E round last August. Andreessen Horowitz and Bessemer Venture Partners co-led the new financing.

The company builds software that automates administrative and operational work for housing and healthcare organizations. EliseAI said its tools are used by one in six apartments in the United States, and that it surpassed $200 million in annual recurring revenue this summer.

Automation across housing operations

In housing, EliseAI’s platform supports property teams working on leasing, maintenance and renewals. Earlier this month, the company introduced Apollo, an AI “teammate” designed to handle tasks inside the existing EliseAI platform.

Chief executive and co-founder Minna Song said Apollo is built natively into the platform that already runs those property functions. That design is intended to let the system act across every role on a property team rather than operate as a separate point product.

Healthcare workflows are also in scope

EliseAI also applies its software to specialty physician groups. Its healthcare tools automate patient-related paperwork from the first inbound call through referrals, scheduling, insurance verification, chart preparation and follow-up.

Song said the aim is to prevent work from falling through the cracks across those linked steps. Housing and healthcare were selected as focus areas because they are among the largest expenses for American households.

What the funding signals

The round gives EliseAI fresh capital at a sharply higher valuation while the company expands automation across operational workflows in two large service sectors. Its reported apartment footprint, revenue milestone and Apollo launch outline the company’s current scale and product direction.

For businesses evaluating AI, the practical implication is to identify processes with repeated handoffs, such as calls, scheduling, verification and follow-up, and assess whether one integrated platform can support the full workflow rather than automate only an isolated task.