Predictive maintenance, without the hype

"Predictive maintenance" gets pitched as a crystal ball. On a real plant floor it's more modest and more useful: spotting the early signs of trouble, so your crew fixes problems before they cost you.

What the suite does

1. Connects the signals you already have. Vibration, temperature, current draw, pressure, cycle counts — from sensors and PLCs you often already own.
2. Learns what normal looks like for each machine, shift and product, instead of relying on one fixed threshold.
3. Raises a plain-language alert when behaviour drifts: which machine, what changed, how urgent it is and what to check first.
4. Closes the loop. When a technician logs the fix, the system learns whether the alert was useful.

What you need first

• At least a few months of sensor or machine history, even if it's messy.
• A maintenance log, even a spreadsheet, to link alerts to real failures.
• One owner on the floor who will act on alerts during the pilot.

What to measure

Skip the dashboards at first. Track unplanned downtime hours, mean time between failures on the pilot line, and how many alerts led to a real finding. If those three move, the rest follows.

Every rollout starts with one line or one critical machine. It's the same approach as our Level 1 agents: prove it where it matters, then scale.