For decades, commercial real estate (CRE) professionals have been stuck performing labor-intensive, repetitive tasks that eat into their time and efficiency. Despite being a $20 trillion industry, CRE has lagged in automation, relying on analysts and brokers to manually compile financial data, build marketing decks, and sift through fragmented market insights.
Henry AI, an artificial intelligence startup focused on the CRE sector, is looking to change that. The company has secured $4.3 million in seed funding to automate some of the most time-consuming aspects of real estate transactions. The round was co-led by Susa Ventures and 1Sharpe Ventures, with participation from RXR, Arden Venture Arms, Singularity Capital, Unwritten Ventures, Coalition Operators, Pioneer Fund, Orange Collective, and Storyhouse Ventures. Several industry leaders, including Bill.com’s head of product Rami Essaid, Truebill.com founder Yahya Mokhtarzada, ROOM founder Brian Chen, and Slack’s chief strategy officer Joe Teplow, also invested in the company.
The Pain Points of CRE Transactions
For many in the industry, the daily grind consists of market research, financial modeling, and marketing deck creation work that can take days or even weeks to complete. Analysts and brokers often spend as much as 50% of their time locating sale and rental data, underwriting financial models, researching market demographics, and tracking economic developments. Even basic operational tasks like compiling data for investor reports or responding to client inquiries require extensive manual effort. The result? Professionals are spending less time on relationship-building and deal-making, the very activities that drive revenue and growth.



