
Position
Place the sensor on the appropriate fixed housing / bearing area.

Solutions
Concrete outcomes, not abstractions: continuous condition monitoring, early anomaly detection, and explainable alerts that tell a maintenance team what changed, where, and what to do about it — before an unplanned stop.
What MachBeat does
Detect the change, explain it, and turn it into planned work. Each capability builds on the last.
Continuous vibration and temperature monitoring on rotating assets, with operating-state context so health is read against whether the machine is actually running.
Trends are compared against a learned baseline; meaningful deviation is surfaced as an early indication for investigation — not a guaranteed prediction, an evidence-backed cue.
Every alert carries root cause, confidence and a recommended action. A reliability engineer sees the reasoning, not just a health percentage.
Remaining-useful-life and a repair-vs-downtime cost view help teams decide when to act — so maintenance is scheduled, not scrambled.
Because condition and energy are linked, the platform is built to surface energy waste alongside mechanical health as the AI engine matures.
The whole loop exists to convert a catastrophic-failure event into a planned inspection window — detect, investigate, plan, maintain.
Maintenance action
The goal is planned maintenance — not failure theater.
Condition departs from baseline.
Review the evidence on the asset.
Schedule an inspection window.
Correct on schedule.
Deployment
Deployment is physical and practical. Timing depends on the asset and site — we don’t invent “5-minute” claims.

Place the sensor on the appropriate fixed housing / bearing area.

Secure the device so vibration transfers into the sensor.

Configure connectivity to the MachBeat platform.

Confirm live data, establish a baseline, watch for change.
The best pilot asset is the one whose failure hurts most. Install MachBeat there and see the loop run end to end.
Start with one machine · no obligation