All Solutions
Predict Equipment Failures Before They Happen
Forecast equipment failures before they happen using sensor data and ML models.
The Problem
Unplanned downtime costs manufacturers millions annually. Reactive maintenance is too late, and scheduled maintenance wastes resources on equipment that doesn't need it.
Our Solution
Our ML models analyze real-time sensor data, historical maintenance records, and environmental factors to predict failures before they occur — enabling proactive maintenance that minimizes downtime and extends asset life.
Capabilities
What you get
Real-time sensor data ingestion and analysis
ML-based failure prediction models
Automated maintenance scheduling and alerts
Asset health scoring and dashboards
Integration with existing CMMS and ERP systems
Continuous model improvement with new data
Ready to automate predictive maintenance?
Book a demo to see how Codnov AI can transform your predictive maintenance workflows.