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CerebraTech AI
Customer pilot

Predict machine failure before it happens. No need to wait for the line to stop first.

  • 100%Processed on your own site
  • 2weeksTime to first results

If any of this sounds familiar

  • A motor's failure is only discovered once the line has already stopped — no time to plan a repair
  • Maintenance runs on a fixed schedule, even though some machines have no problem yet and others have a problem but aren't due for service
  • No data telling you in advance which machine is most at risk of breaking
  • Spare parts aren't ready because there's no way to know in advance when they'll be needed

How the system works

  1. Attach vibration and sound sensors

    Vibration sensors and microphones are mounted at key points on motors or high-risk machines.

  2. Learn the normal sound pattern

    The system collects sound and vibration data while the machine runs normally, to use as a baseline.

  3. Alert before it actually fails

    When the pattern starts drifting from normal, the system alerts the maintenance team in advance so they can plan before the machine actually stops.

An illustrative spectrogram of motor sound and vibrationA colour grid showing sound and vibration intensity by frequency (vertical) and time (horizontal). This is an illustration, not real sensor data — an abnormally high-intensity patch appears in the middle, standing for the early warning before a breakdown.Frequency (kHz)Time →Illustrative example, not real sensor data

Technical specifications

Sensor types
Vibration, Acoustic
Max sampling rate
Up to 25.6 kHz

Hardware used

฿15,000–60,000 per point (see the hardware page for the full table)

See full specs and prices on the hardware page
Legacy integration

Connects to your existing maintenance system

Alerts are sent into your existing CMMS or MES via API or MQTT, automatically creating a work order without manual re-entry.

Frequently asked questions

What this system cannot do

  • We don't yet have advance-warning-time figures confirmed across multiple projects, since this is still in pilot — the numbers will get more accurate as data accumulates.
  • It can't detect sudden damage with no advance warning signal, such as accidents or external damage.
  • The early period after installation may produce inaccurate alerts (false alarms) until the system has learned that machine's normal sound pattern well enough.

Want to know if your motor can be predicted this way?

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