Predictive maintenance
Unplanned downtime is expensive. You know this. But replacing parts on a calendar isn't the answer either, you end up swapping healthy bearings just because the schedule says so. We watch the actual condition of your equipment and tell you when something is changing, weeks before it breaks.
Every machine has a signature when it's healthy. A vibration pattern. A temperature range. A current draw. We learn that signature, then watch for the moment it starts to shift. By the time a human would notice, we've already flagged it. Weeks of lead time instead of an emergency call on a Sunday.
Common challenges
- Unexpected equipment failures
- Over-maintenance of healthy assets
- No visibility into equipment health
- Reactive instead of proactive culture
Our approach
- Instrument critical equipment
- Establish normal baselines
- Train anomaly detection models
- Build alerting and response workflows
Use cases
Vibration analysis on rotating equipment to detect bearing wear weeks before failure.
Thermal monitoring of electrical systems to prevent overheating and fire hazards.
Remaining useful life estimation for critical pumps, compressors, and motors.