Catch drift before output drops.
Anomaly detection and statistical process control flag behavior that leaves the asset’s normal range.
Problems found before they cost youPredictive maintenance
Predictive maintenance that finds the cause.
Anomaly detection, health scores and failure models on the data your machines already produce, with root cause analysis, recommended actions and spare parts on the same asset record. Read-only, with nothing installed on your PLCs.
Anomaly detectionAgainst each asset’s own history and similar assets
Failure modelsFailure risk per failure mode and cost-optimal service intervals
Root causeLikely causes ranked, with the evidence behind them
Spare partsStock and lead times from your ERP, on the asset
01What it watches
Engines, compressors and lines, across every site.
Vibration, temperatures, pressures, run hours and alarms from the PLCs and SCADA you already run, joined to work orders, service history and spare parts from your maintenance and ERP systems.
Engines & CHP
Output, vibration, temperatures and run hours, linked to service history.
Compressors & pumps
Pressures, flows, seals and bearings, compared with their own baseline.
Production lines
Stops, speed losses and the machines behind them, line by line.
Vehicle fleets
Service and fault history for vehicles and mobile equipment, from your maintenance system.
02Use cases
From an early signal to a planned stop.
Every recommendation shows the data behind it, and operators approve before anything changes.
Find the cause, not just the alarm.
Likely causes ranked with the signals and past cases behind them, so the right crew goes out with the right parts.
Fewer repeat failuresService on time, not by the calendar.
Failure risk over time per failure mode, and the service interval with the lowest total cost.
Not too early, not too lateParts ready when the stop comes.
Stock and lead times from your ERP on the asset record, to help ensure parts are available before planned maintenance.
Stops planned around partsPlan the stop in the cheapest window.
Weigh failure risk against production and day-ahead prices to pick the hours a stop costs least.
Stops planned around priceCompare like assets across sites.
The same record for every engine or pump at every site, ranked by value at risk.
One ranked list across sitesPart of Operations intelligence. See also energy optimization and industrial data integration.
Start with one site or one asset class.
Then roll the same models out across your sites.
A focused first engagement, measured against your own baseline.
- We map your sites’ PLCs, SCADA, tags and data with your team.
- We agree one outcome and a baseline, for example unplanned stops or availability.
- We connect read-only, check every signal against your HMI, then the same model covers the next sites.
First results in 2 to 4 weeks. You decide on rollout after you see them.