Need to prevent problems before they happen?
Reveal learns the normal operational fingerprint of every connected device. When behavior drifts — even subtly — it flags the anomaly days before a human would notice. AI that learns your equipment and anticipates its failures.
How it works
- 01
Normal behavior learning
Reveal builds a model of expected behavior for each piece of equipment based on historical data. It learns patterns by time of day, season, operational load, and environmental conditions.
- 02
Subtle deviation detection
Identifies gradual changes a human wouldn't notice — a compressor consuming 3% more than normal, a generator taking 2 extra seconds to start — early signs of degradation.
- 03
Prediction with action window
It doesn't just detect that something will change — it estimates when. This gives the maintenance team an action window to intervene before the failure, at the most convenient time.
- 04
Continuous improvement
Each confirmed or dismissed prediction improves the model. As Reveal learns more about your specific equipment, its predictions become more accurate.
Concrete examples
- Detect gradual DVR hard drive degradation before it fails
- Anticipate chiller compressor failure based on atypical vibration and consumption
- Predict generator maintenance needs days before a mechanical failure
- Identify progressive UPS battery deterioration before backup capacity is lost