Trebellar, a San Francisco-based company building AI-native decision-making software for corporate real estate, has raised $18 million in Series A funding to expand its platform and bring artificial intelligence deeper into enterprise real estate management.

The round was led by Blossom Capital, with participation from Haystack, Alt Capital, 1Flourish, and Bynd.

Trebellar is targeting a corporate function that remains heavily dependent on spreadsheets, PDFs, disconnected tools, and outside consultants: managing the physical spaces where companies operate.

The company says its platform is already used by enterprises including Meta, Uber, Merck, and Cohesity.

Turning corporate real estate data into a live system

Corporate real estate teams manage a huge amount of information.

Leases, office locations, available space, employee headcount, utilization, costs, commuting patterns, transportation access, and employee sentiment all influence decisions about where companies should operate and how much space they need.

But these datasets are often spread across different systems and documents.

That means making a real estate decision can require teams to manually collect information from spreadsheets, PDFs, property systems, and other sources before they can even begin analysing the options.

Trebellar is designed to bring those pieces together.

The company's platform creates a live view of an organization's real estate portfolio, showing how much space it has, what that space costs, and how effectively it is being used.

The system also incorporates factors such as commute times, transit access, and team sentiment.

Rather than treating corporate real estate as a collection of static reports, Trebellar wants to make it an ongoing decision-making system.

The platform tracks the reasoning behind decisions, whether those decisions delivered the expected results, and what actions should be considered next.

AI moves beyond dashboards

Trebellar's positioning goes beyond simply adding an AI assistant to an existing real estate dashboard.

The company describes its platform as an AI-native system of record for corporate real estate.

The underlying objective is to allow real estate leaders to make decisions without repeatedly relying on manual analysis or outside consultants.

Co-founder and CEO Diego Ferreiro Val said the company was created to give corporate real estate leaders more independence and allow them to make decisions with the speed and confidence already available to other business functions.

This is particularly relevant as companies manage increasingly complex workplace strategies.

Real estate decisions can involve multiple variables at once, including office costs, employee locations, workplace utilization, commuting requirements, transportation infrastructure, and employee preferences.

By bringing these inputs together, Trebellar aims to give enterprise teams a common information layer for those decisions.

Meta, Uber and Merck among customers

The platform is already being used by several large enterprises.

Trebellar lists Meta, Uber, Merck, and Cohesity among its customers.

Dave Gunter, VP of Global Workplace Services at Meta, said Trebellar provides purpose-built AI for corporate real estate decision-making and described the platform as becoming an important part of how his team approaches real estate decisions.

The customer base gives Trebellar an opportunity to develop its product around complex enterprise requirements rather than only smaller companies with relatively simple workplace footprints.

Corporate real estate can become particularly complicated for global organizations operating across multiple offices, cities, countries, and employee populations.

A system that can continuously combine portfolio information with workforce and workplace data could potentially reduce the amount of manual work required to evaluate those decisions.

A team combining software and real estate experience

Trebellar was founded by engineers and operators with backgrounds at companies including Salesforce, Google, Waymo, and Verkada, alongside experience in corporate real estate.

The company has also brought experienced real estate leadership into its network.

Dave Radcliffe, who oversaw the expansion of Google's real estate footprint during the leadership periods of Eric Schmidt, Larry Page, and Sundar Pichai, recently joined Trebellar as an advisor.

His experience adds exposure to the challenges involved in managing real estate at one of the world's largest technology companies.

For Trebellar, the combination of enterprise software expertise and corporate real estate experience is central to building a product designed specifically around the needs of workplace and real estate teams.

Blossom Capital leads the Series A

Blossom Capital led the $18 million Series A.

The European venture capital firm has approximately $1.5 billion in assets under management and focuses on early-stage technology companies.

Haystack, Alt Capital, 1Flourish, and Bynd also participated in the round.

The investment comes as investors increasingly look at business functions where AI can replace manual analysis and fragmented workflows.

Corporate real estate is one such category.

Unlike areas such as software development, customer support, legal services, and finance, corporate real estate has historically relied heavily on specialized consultants, spreadsheets, and disconnected enterprise systems.

Trebellar is betting that AI can provide a new layer of intelligence on top of that data.

Funding will expand AI and enterprise operations

Trebellar plans to use the new capital to expand its engineering and go-to-market teams.

The company also intends to deepen its AI capabilities and grow its enterprise customer base.

That means the next phase will involve both product development and commercial expansion.

For an enterprise software company, expanding beyond early customers will require the platform to work across different corporate real estate strategies, organizational structures, property portfolios, and workforce models.

The company's existing customers provide a base for that expansion, while the new funding gives it additional resources to develop the technology and reach more enterprises.

The bigger opportunity in corporate real estate

Trebellar's pitch reflects a broader change in how companies are approaching enterprise software.

AI is increasingly being applied not only to individual tasks but also to business functions that depend on large volumes of fragmented information.

Corporate real estate is particularly data-heavy, but much of the decision-making process still requires people to assemble information manually before reaching a conclusion.

Trebellar wants to change that workflow.

Its platform combines portfolio data with workforce-related information and creates a continuous system for evaluating decisions.

The company believes corporate real estate can move from periodic reports and consultant-led analysis toward a more dynamic operating model.

With $18 million in new funding, customers including Meta, Uber and Merck, and a team combining enterprise technology and real estate expertise, Trebellar is now scaling its attempt to build that system.

The broader question is whether AI-native platforms can become the primary decision-making layer for traditionally fragmented enterprise functions.

Trebellar is starting with the physical infrastructure behind the modern workplace.