Predictive Maintenance Engine
Anomaly detection and remaining-useful-life models wired into CMMS work orders for industrial fleets.
What we are solving
Operators react to failures instead of preventing them. Sensor data sits in historians while breakdowns drive overtime, parts AOG and SLA penalties on customer contracts.
How it works
A managed feature store fed by SCADA, OPC-UA and CAN telemetry, paired with anomaly detection and remaining-useful-life models trained per asset class. Outputs are pushed as scored work orders into Maximo, SAP PM or in-house CMMS, with operator feedback closing the retraining loop.
Where it ships
Bogie, traction and HVAC condition monitoring across mainline fleets to cut unscheduled withdrawals.
CNC spindle and motor health scoring tied to MES so jobs are rerouted before the line stops.
Transformer and substation asset health with thermal and DGA fusion to extend MTBF.
Tech stack
Engagement deliverables
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