Know which part will fail, why, and when.
GAIA turns the signals your equipment already reports into an alert a maintenance lead can act on: the asset, the likely failure mode, the evidence, and the lead time.
What an alert tells you
The asset
Which machine, by name, as your team knows it.
The likely failure mode
What is wearing out, not just that something is wrong.
The evidence
Every signal behind the alert, so your team can check it.
The comparison
How this machine differs from identical machines on the same line.
The lead time
How long you have, from how fast the part is wearing.
The action
What to do and when, timed to a planned stop.
Conveyor drive motor 11
Winding insulation breakdown from overheating
IllustrativeExpected failure: within 24 hours
Recommended: replace at the next scheduled break.
Read what is already there. Flag what is about to fail.
Read
GAIA connects read-only to the controllers, PLCs, SCADA and historians a site already runs. No new sensors in plants. Your controls stay unchanged.
Compare
Every asset is checked against its own history and against identical assets doing the same job.
Explain
Each alert names the likely failure mode, the signals behind it, and how much time is left.
Schedule
Your team replaces the part at a planned stop. GAIA predicts and explains. Your team decides and acts.
Controllers and drives
PLCs
SCADA and historians
Vehicle data buses
Predict
failure mode and lead time
Explain
the signals behind each alert
Act
your team schedules the fix
Every asset, against its own history and its peers.
See which assets are drifting before they fail.
Physics first, then the data.
GAIA's models start from how motors, drives and engines physically wear: heat, load, speed and duty cycle. They learn each asset's normal behavior and compare it with identical assets doing the same job. That is how GAIA can flag a failure on equipment that has rarely failed before.
Thermal aging
16×
faster insulation aging at 40°C over baseline
At +40.6°C, about 6% of normal life remains.
Live data from equipment GAIA can reach.
Live data
GAIA reads data your controllers already report, as it happens.
A reachable connection
If equipment produces no data GAIA can reach, GAIA cannot predict on it. We will tell you which of your assets qualify.
As much data as you have
More signals and more history make predictions earlier and more precise.
Request a technical briefing.
Tell us what equipment you run and how it connects. We will tell you plainly whether GAIA can read it.