AI Predictive Maintenance
Predict failure 14 days before it happens.
PRECOG forecasts breakdowns in complex machines with electric motors - DC, single- and three-phase AC - with a proven accuracy of over 90%. Stop reacting to downtime. Start preventing it.
Measured outcomes
The numbers our customers see
%
Fault-prediction accuracy
%
Lower maintenance costs
%
Reduction in downtime
%
Fewer unplanned site visits
%
Unplanned maintenance events
Go beyond monitoring.
Automate the analysis and the action.
Eight reasons engineering and operations teams replace threshold alarms with PRECOG.
AI smart maintenance
A self-learning forecasting engine that hits over 90% success from the start — and keeps improving as it adapts to each device.
Downtime prevention
Enhance operational safety by catching failures before they cascade — keeping critical lines and infrastructure available.
Failure prediction
Predicts the failure of complex machines with electric motors up to two weeks in advance — across continuous or periodic motion.
Precision forecasting
Reduces maintenance costs and optimises the logistics chain, so you order the right part, at the right place, at the right time.
On-demand solution
No rigid maintenance calendar. Focused teams tackle specific issues exactly as they arise — nothing sooner, nothing missed.
Cost effective
Lowers operational costs across the board — fewer emergencies, fewer truck rolls, fewer parts sitting idle in inventory.
Probability calculations
Combines 14 distinct probability-calculation algorithms with RNN-based AI for highly accurate, device-specific predictions.
Greener solution
Shortens the logistics chain and reduces your carbon footprint — predictive maintenance that's good for the bottom line and the planet.
Works with
Any complex machine with an electric motor.
