Predict rotating equipment failures 3-6 weeks out — before the breakdown, not after.
Fleetpio reads vibration, temperature, and pressure streams from your pumps, compressors, and motors — scoring each asset's health daily and auto-scheduling technician visits on your timeline, not the machine's.
Sensor data in. Maintenance calendar out.
Magnetic accelerometer nodes clip onto motor housings, pump casings, and compressor bodies. No hardwiring. Readings stream every 10 minutes to the Fleetpio gateway.
The scoring engine compares current readings against each asset's personal baseline — calibrated over the first 14 days. Fault type and confidence level included.
When a score crosses the configured threshold, Fleetpio creates a draft work order in your CMMS. Your technician gets the fault type, affected asset, and recommended parts — on their existing schedule.
Built for the machines you actually run
Bearing wear, impeller imbalance, cavitation, seal degradation
Rotor imbalance, valve wear, coupling misalignment, oil degradation
Bearing failure, winding insulation, eccentricity, coupling wear
Blade imbalance, bearing wear, gearbox monitoring
Blade pass frequency, shaft alignment, thrust bearing wear
Every asset. One screen.
Plugs into your existing workflow
Fleetpio writes maintenance work orders directly to your CMMS. No dual entry, no separate workflow. Predictive alerts become scheduled work on your existing platform.
Results from the plant floor
We caught a drive-end bearing degrading on one of our centrifugal pumps five weeks before it would have failed. Replaced the bearing on a planned Saturday shift instead of an emergency callout. That's the kind of catch we built this whole maintenance program to do — we just couldn't see it without the vibration data.
We were running quarterly PMs on all rotating equipment regardless of actual condition. Half the work orders we were generating were unnecessary. Fleetpio's health scores showed us which assets actually needed attention and which were fine. Maintenance labor costs dropped noticeably in the first three months.