Building Fault Detection uses AI to surface real building faults early, enabling proactive maintenance, by detecting anomalies in sensor streams, alarms, and tickets, across building management and facilities operations.
Building systems generate sensor streams and alarms that overwhelm facilities teams, while genuine faults hide among nuisance alerts. Problems are noticed after comfort complaints or equipment failure rather than before, raising energy waste and downtime.
The AI runs detection over building sensor streams, equipment alarms, and maintenance tickets, flagging genuine faults and degradations and suppressing the noise that masks them.
Shortens fault detection lead time and reduces reactive maintenance call-outs.
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