For most large companies, real estate is one of the biggest costs after payroll. Yet decisions about where employees work, how much space to lease and how buildings are run are often made using spreadsheets, static reports and outside consultants.
Trebellar, a San Francisco-based start-up, wants to change that. The company announced on Thursday, September 24, that it has raised $18 million in a Series A funding round led by Blossom Capital, according to Axios, which first reported the deal, and a company announcement.
Other investors in the round include Haystack, Alt Capital, 1Flourish and Bynd.
What Trebellar does
Trebellar is building what it describes as an AI-native decision-making platform for corporate real estate management. The platform is designed to help large companies manage their property portfolios, workplaces and building operations by bringing together data that is usually scattered across many systems.
Large enterprises generate enormous amounts of information about their real estate: lease terms and costs, office occupancy and space utilisation, maintenance records, energy consumption, employee badge data, meeting-room bookings and more. But that data typically sits in separate systems owned by different teams — finance, workplace, facilities and property — making it difficult to get a clear picture of how space is used and what it costs.
Trebellar's platform aims to connect that data and use AI to turn it into actionable decisions, such as which offices to consolidate, how much space a team really needs or how to reduce energy costs in a building.
Diego Ferreiro Val, Trebellar's co-founder and chief executive, summed up the problem. "Real estate has been the one back-office function still running on spreadsheets and outside consultants," he said.
Big-name customers
Trebellar already counts some well-known companies among its customers, including Meta, Uber, the pharmaceutical group Merck and the data management company Cohesity.
Dave Gunter, vice president of global workplace services at Meta, endorsed the platform. "Trebellar has built exactly what corporate real estate has been missing: purpose-built AI," he said.
The company is also advised by Dave Radcliffe, a former real estate executive at Google.
The team includes engineers and operators with experience at Salesforce, Google, Waymo and Verkada, combining enterprise software expertise with experience in physical-world technology.
Why now
Several trends have made corporate real estate a pressing issue for large companies.
The shift to hybrid work since the pandemic has transformed how offices are used. Many companies now have employees in the office only part of the week, leaving large amounts of space underused on some days and crowded on others. Deciding how much space to keep, where and in what configuration has become a complex, data-driven problem.
Cost pressure is another factor. Office leases are long-term commitments that can represent billions of dollars for large companies. With businesses looking for efficiencies, real estate has become an obvious target.
Sustainability is also driving change. Buildings account for a significant share of global energy use and carbon emissions, and many companies have committed to reducing their environmental footprint. Understanding how buildings are used is essential to cutting energy waste.
Finally, AI has made it possible to analyse large, messy datasets and generate useful recommendations in ways that were difficult only a few years ago.
The investor's view
Blossom Capital, which led the round, is a venture capital firm known for backing early-stage technology companies. Ophelia Brown, Blossom's founder, expressed confidence in the team, saying that Ferreiro Val and his co-founders are "the right team to build that", according to the company's announcement.
The investment fits a broader enterprise-software pattern: venture firms are increasingly interested in AI products that own an entire professional workflow rather than a thin assistant sitting beside an existing system. Real estate is attractive because large companies generate large volumes of lease, occupancy, maintenance and energy data, while decision-making remains fragmented across departments.
The competitive landscape
Trebellar faces competition from established players in corporate real estate software, including integrated workplace management systems, lease administration platforms and space-planning tools. Large real estate services firms, which advise companies on their property portfolios, also offer technology and analytics.
There is also the question of change management. Corporate real estate decisions involve many stakeholders — chief financial officers, workplace leaders, facilities managers, human resources teams and business unit heads — each with different priorities. A platform that recommends closing an office or consolidating floors must earn the trust of all of them. That makes transparency in how the AI reaches its recommendations, and the ability for humans to test and override them, as important as the underlying technology.
Data quality is a further hurdle. Occupancy sensors, badge systems and lease databases are often incomplete or inconsistent across countries and buildings. Much of the early work for any platform in this space involves cleaning and connecting that data before AI can produce reliable insights.
Trebellar's challenge will be to prove that it can become the operating system for corporate real estate decisions, rather than an analytics layer that incumbents can replicate. Winning the trust of large enterprises, which often have long procurement cycles and complex existing systems, will be essential.
Relevance for India
The story has particular relevance for India. The country has become one of the world's most important locations for corporate offices, driven by the rapid growth of global capability centres (GCCs) — the offshore technology, operations and research hubs that multinational companies run in cities such as Bengaluru, Hyderabad, Pune, Chennai and Gurugram.
India's office market has seen record leasing activity in recent years, much of it driven by GCCs. As multinationals expand their Indian footprints, they face the same questions about space utilisation, hybrid work and costs that Trebellar aims to address. Tools that help global companies manage their real estate portfolios more intelligently could have a significant impact on how they plan and operate offices in India.
For Indian real estate developers and flexible workspace providers, the growing use of data-driven decision-making by corporate tenants could also change how offices are designed, leased and managed.
The bottom line
Trebellar's $18 million round reflects investors' belief that corporate real estate — a huge but often overlooked area of enterprise spending — is ready for AI-driven transformation.
With a roster of well-known customers and a team drawn from leading technology companies, Trebellar has an early lead. The next phase will show whether it can turn that lead into a platform that changes how the world's largest companies decide where and how their people work.
