Universities and research campuses run some of the most complex building portfolios anywhere. Tacit gives every team one source of operational truth.
Lecture halls, research labs, residences, libraries, each with its own BMS, its own data shape, and its own failure modes.
Tacit unifies the data and surfaces faults with a cost attached, before they become complaints, failures, or compliance risks.
Mixed vintages, mixed systems, no common data layer across the portfolio.
Occupancy swings from 10% to 100%, and HVAC schedules rarely follow.
Labs and archive spaces require stable conditions. Failures cost more than money.
Boards want net zero progress. Teams are still pulling data manually.
Run a larger, more complex estate without growing your team.
See where energy spend is going, and where it is being wasted.
Close the gap between net zero commitments and actual performance.
Protect the environments your research depends on.
Representative findings, surfaced by Tacit agents with a cost attached.
Figures are illustrative, based on typical findings across comparable estates, not a specific site.
AI agents monitor every asset 24/7 and surface faults with evidence, root cause, and annual cost impact, ranked so your team always knows where to start.
Four specialist agents covering air handling, central plant, controls integrity, and conservation environment, running continuously across your campus.
Real-time thermal comfort, CO₂, and humidity tracking by zone and by floor across every connected building. Critical for student wellbeing and research compliance.
Tacit was founded as a UCL spinout, with direct access to university-grade building complexity: research labs, heritage spaces, mixed-use estates, and the teams who run them.
University College London spinout
Continuous autonomous monitoring
Specialist AI agents deployed
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Why AI keeps guessing in buildings, and how context turns it into evidence-backed answers operators can trust.
