PREECURSOR
Industrial goods

Predictive operations that turn downtime into scheduled work

An illustration of sensor-grounded models and a maintenance copilot that turn unplanned downtime into scheduled work across a plant network.

The challenge

What stood in the way

Across forty plants, unplanned downtime was the single largest controllable cost — and the playbook for avoiding it lived in the heads of a shrinking pool of senior reliability engineers. Maintenance ran on fixed calendars that over-serviced healthy assets and missed the ones about to fail. Decades of sensor and work-order history sat unused because no one could turn it into an action a floor supervisor would trust.

What we build
01
Failure-prediction models
Models trained on sensor streams and maintenance history flag impending failures days ahead, ranked by the downtime and dollars each one puts at risk.
02
Maintenance copilot
A grounded assistant turns each prediction into a specific, cited maintenance action — pulling the right procedure from manuals and service history so any technician can act like the best one.
03
Plant-floor integration
Predictions flow straight into the existing CMMS and shift planning, so the system schedules work into the plan instead of becoming another dashboard no one opens.
04
Closed-loop tuning
Every intervention feeds back into the models and a plant-level scorecard, so accuracy and savings compound quarter over quarter instead of decaying.
What it's designed to do

Impending failures surface days ahead, ranked by the downtime and dollars each one puts at risk — turning reactive firefighting into planned maintenance.

Each prediction becomes a specific, cited maintenance action, so any technician can act on it like the most experienced one on the floor.

Predictions flow into the existing CMMS and shift plan, so the work gets scheduled into operations instead of becoming another dashboard no one opens.

Could we build something like this for you?

This is an illustrative example of the kind of system we build. Tell us the metric you need to move and we will tell you, candidly, what we would build first.

See more work