Ranks assets
Shows the highest-risk machines first using severity, criticality, time window, business exposure, and evidence confidence.
Private industrial decision intelligence
Know which machine needs attention first.
MotorHealth AI converts vibration, temperature, current, speed, and operating context into a ranked maintenance queue with evidence, business impact, and technician-ready action.
What it does
From raw signals to maintenance decisions.
Explains evidence
Combines multiple sensor channels so a single spike does not become a false critical alarm.
Shows cost impact
Connects equipment condition to downtime exposure, repair cost, energy waste, and operational priority.
Guides action
Gives technicians the next check, likely failure area, and parts/tools guidance when verified asset data exists.
Fits the plant you have
Works across different levels of digital maturity.
Existing dataPLC, VFD, SCADA, historian, API
Additional sensingVibration, temperature, current, speed/RPM
DeploymentLocal-first edge gateway or customer-secured server
OutcomePrioritized action queue and audit trail
Why it matters
Maintenance teams do not need more dashboards. They need decisions they can trust.
MotorHealth AI is designed to suppress noise, reveal the machines most likely to hurt operations, and keep the final maintenance decision auditable and human-approved.
Start with one controlled pilot asset.
Use normal operating time to collect baseline evidence, verify sensor quality, and produce the first ranked health report.
Request Pilot