Aerospace & defence supplier · production line, 4 machines · regulated environment. No new sensor, no intervention on the machines, and no data preparation asked of the client.
A backtest, not a projection. The model was calibrated on an earlier period and then scored against six months it had never been shown. How we validate →
One question, asked of one line, against data the plant had been writing to disk for years.
The gain is concentrated. V4 and V2 carry it; on V1 and V3 the log held almost nothing the model could use. Rather than average that away, here is the split.
The median warning time matters as much as the hours. On V4 it is 5.9 hours — a shift’s notice. On V2, 37 minutes: enough to finish a part and stop cleanly, not enough to plan. On V1 and V3, around five minutes, which is not a warning at all. The per-machine economics →
Alerts that precede nothing cost real time to check. That cost is deducted below rather than left out, which is why we publish two numbers instead of one.
The plant had already spent years instrumenting. The event log existed, it was complete, and until this ran it had never been used to decide anything.
Not one. The deployment added no hardware and required no intervention on the line.
No data preparation was asked of the client’s team, and no engineering time was booked against it.
Micro-stop counts only — no named operator data, so the client’s GDPR scope was unchanged.
Within a week we tell you whether it carries a precursor, before you commit to anything.