Tacitwin.ai provides an AI-powered intelligence layer for building management, unifying scattered data from BMS systems, equipment specs, and work orders into a single source of truth. The platform gives facilities management teams real-time insights, ranked anomaly findings, and board-ready reporting across entire property portfolios. Built on a decade of UCL research, it uses building physics models to keep AI agents safe, auditable, and grounded in on-site reality.
Funding
Funding not disclosed
Founders
Product
Problem
Facilities management teams struggle with fragmented building data scattered across BMS systems, spreadsheets, equipment specifications, and work orders. This fragmentation forces staff to check multiple systems to answer simple questions, delays fault detection until after equipment breaks, and makes board-level reporting a weeks-long manual process of spreadsheet compilation.
Solution
Tacit provides an intelligence layer that connects and structures scattered building data into a unified model, giving FM teams faster, more accurate decisions and real-time insights they can trust. The platform pulls together BMS data, equipment specs, work orders, and institutional knowledge, then transforms them into actionable insights ranked by cost impact. Different roles—from Head of Estates to Field Engineer—access the same evidence through role-specific views, with live carbon tracking against Net Zero goals, performance and risk metrics per site, and complete asset histories in one place. AI agents are constrained by building physics models, ensuring every decision is auditable and grounded in what is actually happening on site.
Target Audience
Primary customers are facilities management teams, estates departments, and sustainability leads at enterprises and public sector organizations managing single buildings or large property portfolios across the UK and Europe.
Features
- Unified building data model that maps every signal, asset, and document into a shared structure, scalable from single sites to entire portfolios
- AI-generated findings feed ranked by cost impact, enabling engineers to prioritize actions that matter most
- Building physics models that keep AI agents safe to deploy, with every decision auditable and grounded in on-site conditions
- Role-specific dashboards for Head of Estates, Sustainability Lead, and Field Engineer, all drawing from the same source of truth
- Live carbon and energy tracking against Net Zero goals, eliminating manual quarterly calculations
- Board-ready reporting in one screen, replacing weeks of spreadsheet work with live site and asset views