AI that loads SCADA context, cross-references your digital twin, and returns a specific verdict — not a probability score.
REVIVE AI VERDICT
3 of 3 alerts classified · 58 seconds
The cost of alarm fatigue
500+
Alarms per operator per day in a typical refinery
$2–8M
Average cost of one unplanned shutdown
80%
Of alarms that are noise — weather, drift, or false positives
Every missed real failure starts with an alarm that looked like the others.
How Revive AI Works
Alarm fires
SCADA threshold triggered — pressure, flow, temperature, or bearing
AI loads context
Digital twin, adjacent equipment, maintenance history, ambient conditions, calibration logs
Verdict with proof
Not a score. A specific conclusion: environmental, instrument fault, or real failure — with the evidence chain
Unlike probabilistic anomaly detection, every verdict is explainable. Your operator knows exactly why.
Three SCADA alerts. The same threshold pattern. Watch the AI load context from 15 sources and return a different verdict for each — with a full evidence chain.
Want to see this on your own SCADA data?
We'll run a live session with your actual alerts. No setup. No commitment.
Four verdicts. Each requires a different response.
Environmental
Adjacent wells match. Suppress the alert.
Suppressing saves 2–4 hrs operator time
Instrument fault
Calibration expired. Recalibrate FT-204A.
Catching early saves $15–40K recalibration cost
Real failure
Bearing 97h overdue. Shutdown in 48h.
Missing this costs $2–8M unplanned shutdown
Control loop
PID tuning drift. Adjust setpoint, no emergency.
Ignoring degrades yield by 3–8% over time
See this on your SCADA data
We'll run a 30-minute technical session with your actual alert stream.