Sentinel is a predictive monitoring layer that detects developing equipment faults hours before traditional threshold-based alerting. It learns the normal pattern across all your sensor channels together and catches multi-channel deviations that single-channel limits miss.
The technology is sensor-agnostic. It works with any combination of environmental, power, mechanical, or process sensors — temperature, humidity, current, pressure, flow, vibration, or any other continuous measurement.
Our live demo shows four common data centre failure modes, but the same engine adapts to any domain: industrial plant, comms rooms, labs, healthcare facilities, retail infrastructure, or any critical environment where early fault detection matters.
No new hardware. Sentinel works on the sensor data your existing monitoring devices already produce. Upload 48 hours of baseline data, and we typically return an initial calibration response within 24 hours.
Every site you monitor with Sentinel builds a structured record of equipment behaviour — normal patterns, fault signatures, degradation trajectories. Over time, this becomes a valuable intelligence asset. Anonymised and aggregated, these insights are exactly what equipment manufacturers need to improve product reliability.