OperationsReasoningHigh complexity
Predictive Maintenance
Predict equipment failures from sensor data before they stop the line.
How we approach it
Vibration, temperature, current and acoustic data feed anomaly and remaining-useful-life models for each asset class. Alerts reach maintenance planning with the evidence behind them, and work orders are scheduled into planned downtime. Technicians' findings label the data for the next model.
Business value
Less unplanned downtime
Technology stack
- OPC UA
- time-series database
- edge gateways
- ML models
- CMMS integration
Related service
Proprietary AI DevelopmentRelated use cases
- Manufacturing · OperationsProduction SchedulingRebuild production schedules quickly when orders, materials or machines change.
- Manufacturing · OperationsSupply Chain VisibilitySee inventory, shipments and supplier risk across tiers, and meet new EU product data duties from the same data.
- Manufacturing · OperationsProcess Optimisation ModelsFind the best settings for each process from the plant's own historical data.