It tells you what is about to fail, and what it will cost if you wait.
The UK's most advanced AI predictive analytics platform. The Operational Twin turns O&Ms, BIM, BMS, energy, compliance and live operational data into a single intelligence layer — detecting faults, forecasting failures, quantifying energy waste and ranking what to do next by consequence rather than by ticket age.
Reactive maintenance is the most expensive way to run a building.
Four numbers the operation is judged on
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Ask the building what is wrong
Voice activation lets an engineer talk to the estate. Ask what is wrong, or what the top five risks are right now, and it answers — then suggests what to do about each one.
Because the AI is trained on your own O&Ms, the guidance it gives is the manufacturer's procedure for your plant, not generic advice.
Four things it does continuously
Not a monthly report. The engine runs against live feeds and re-ranks its own recommendations as the building changes.
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An alarm tells you something happened. FDD tells you why.
BMS alarms fire in their thousands and get muted. Our FDD layer correlates readings across systems, discounts the noise and returns a diagnosis: which asset, which probable cause, what it is costing per week, and what to check first.
Because every fault resolves to an asset in the Digital Twin, the engineer arrives with the O&M, the service history and the drawing already open.
From fixing on failure to planning on evidence
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Compliance that watches itself
The same engine runs across the Compliance module. Rather than a register someone remembers to check, expiries, overdue inspections and gaps in evidence are detected, escalated and weighted alongside every other risk in the building.
A fault that carries statutory exposure is ranked accordingly — so compliance stops competing with maintenance for attention and becomes part of the same prioritised list.
One engine, four different questions
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See it run against a real building
We will connect a sample of your data and show you the faults, the energy drift and the lifecycle forecast it finds.