Fault code lookup for technicians
Technicians get the cause and the fix for an alarm without walking back to the office.
Models read machine signals on site and warn the maintenance team before a stoppage.
Which spindle needs attention this week?
Spindle 3 on machine 7. Vibration has risen for four days, in the same pattern as the last bearing failure.
Is the spindle on line 2 at risk?
Vibration has risen 3 days in a row. Plan a bearing check at the next stop.
When is the next planned stop for machine 7?
Saturday at 06:00, a four-hour window in the maintenance plan.
Unplanned stops cost far more than planned maintenance, but warning signs are buried in sensor data no one has time to watch. Sending all machine data to the cloud is expensive and often not allowed. Teams end up servicing too early or too late.
Maintenance planners and technicians, with a gateway reading machine signals and a desktop in the maintenance office.
The gateway reads vibration, temperature and current from your machines.
A model trained on your machines’ history flags patterns that came before past failures.
Planners ask which machines need attention and why, and get the evidence behind each warning.
Problems are flagged before they stop the line.
Machine data is processed on the gateway.
Every warning comes with the reason.
Any machine whose signals your gateway can read. We help you choose sensors where none exist.
No. Signals are processed on the gateway. You choose what, if anything, is shared.
With your maintenance system connected as a tool, it can prepare a work order for a planner to approve.
Pick one team and one use case. We’ll have it running on your own devices in weeks.
Ask ChatGPT, Claude or Perplexity and see what they think. One click, instant insight.