Manufacturing
Predictive Maintenance: What Our AI Can Do
A demonstration of how our COGNITION ENGINE predicts equipment failures using real sensor patterns from manufacturing environments.
Failure Prediction
14 days
Advance warning window
Sensor Channels
2,400+
Monitored in real-time
Model Accuracy
94%
On test datasets
Pilot Duration
8 weeks
Free assessment
Platform DemoOngoing R&D5 team members
Challenge
Unplanned equipment failures cause costly production stoppages. Traditional scheduled maintenance is both expensive and ineffective — you either maintain too early (wasting money) or too late (causing breakdowns).
Solution
Our COGNITION ENGINE monitors vibration, temperature, and electrical patterns from equipment sensors. Machine learning models trained on failure signatures predict issues 14 days in advance on our test datasets.