One model of every building
Every signal, asset, and document mapped into a shared structure. The same approach works whether it's one site or a portfolio.
Built by a team that's spent a decade working with real buildings
Tacit is a UCL spinout. We come from research labs and plant rooms, and we built the platform we wanted to exist. The intelligence layer that brings every signal, asset, and decision into one place for the people running the building.
The people building Tacit
Advisors
A decade of asking why buildings underperform
Tacit started inside UCL's Bartlett School of Environment, Energy and Resources. For ten years, our co-founders led research on how buildings generate data and how rarely that data translates into better decisions. Smart building systems, fault detection, control, and the data models that tie them together. Work that has shaped how building digitalisation is thought about across Europe.
We didn't stop at the papers. The team has deployed AI in plant rooms across Europe and Asia, sat through countless walkthroughs, and worked with FM teams to figure out what actually shifts the dial on energy, comfort, and uptime. What we kept seeing was the same thing in every building.
The data existed. The teams that needed it never saw it.
Tacit is the layer we wanted to exist. It pulls together BMS data, equipment specs, work orders, and the institutional knowledge engineers carry, and turns them into something operators can act on. Live. Across every site. As buildings get smarter, the teams running them get smarter too.
Born from research. Tested in operation
Three threads of UCL research now sit at the core of the platform. Each one tested against real buildings before it shipped.
Findings, ranked by cost
A decade of research into how anomalies surface in real buildings, turned into a feed where engineers act first on what matters most.
Agents that respect the physics
Building physics models keep AI agents safe to put on watch. Every decision auditable, grounded in what's happening on site.
