Trebellar, a software company building AI agents for corporate real estate teams, closed an $18 million Series A led by Blossom Capital. The round, disclosed in a company blog post, signals venture conviction that large employers will pay for tools that automate the portfolio decisions their in-house facilities and workplace teams make every quarter.
Haystack, Alt Capital, 1Flourish and Bynd Venture Capital also participated. Trebellar named Meta, Uber, Merck and Cohesity among its customers. The buyer is not a broker or a landlord - it is the occupier team inside a large company that decides how much office space to hold, where to hold it and what happens when leases come due.
What the software does
Co-founder and CEO Diego Ferreiro Val described the problem in terms that will be familiar to anyone who has run a portfolio review. "Leases, space, headcount, and utilization data sit across systems that don't talk to each other, so every major decision starts with weeks of reassembling the picture by hand," he wrote. "Dashboards show what happened. Consultants deliver a report that's outdated on arrival."
Trebellar pulls that scattered information into a single live view of a portfolio - how much space a company has, what it costs and whether it is working for the people using it. The system layers on commute times, transit access and employee sentiment. It also records why each decision was made and whether it held up. The product pages list automated lease abstraction, renewal and expiration tracking, supply-and-demand scenario modeling, and location scoring using demographic and drive-time data. The company describes its approach as agents that "plan, execute, and deliver a finished result" rather than chat interfaces that answer questions.
Who is backing it and advising
Ferreiro Val said the round will fund engineering and go-to-market hiring, deeper AI capabilities and expansion to more enterprise customers. He co-founded the company after leading engineering at Salesforce. The announcement also disclosed an advisory hire: Dave Radcliffe, who Trebellar said "led the expansion of Google's real estate footprint under Eric Schmidt, Larry Page, and Sundar Pichai." Further detail on the appointment is expected later.
A busy stretch for real estate AI funding
The round lands in a period of steady venture funding for software that automates document-heavy real estate work. Earlier this year, a vendor said Cushman & Wakefield had cut lease abstraction from days to minutes using AI - the same task at the base of Trebellar's product. Capital has also flowed to adjacent problems: Buildots raised $130 million for construction AI aimed at data center buildouts, and homebuilders D.R. Horton and PulteGroup backed Scaffold's $15 million round to untangle builder data.
What sets Trebellar's segment apart is who pays. The customer is the tenant, not the landlord or the brokerage. That is the harder sale, because the budget sits inside corporate facilities and workplace teams rather than a real estate P&L. Those teams must justify the spend against the same portfolio costs the software is meant to reduce. An $18 million round with Meta and Uber already on the customer list provides a reasonable test of whether enterprises are ready to buy it. Professionals tracking how AI is reshaping corporate real estate workflows can explore AI for Real Estate Courses that cover these shifts in practice.
Why this matters for real estate and construction professionals
Trebellar's raise confirms that venture capital sees a paying market inside corporate occupier teams, not just among brokerages and landlords. For facilities and workplace leaders, the pressure to automate lease abstraction and portfolio modeling is now backed by dedicated funding and a growing customer list. For service providers who have long sold consulting reports and manual portfolio reviews, a tool that delivers a live, auditable view of every decision threatens to compress the timeline - and the billable hours - those reports depend on.
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