Manufacturing · A process manufacturer, continuous batch production

In-Run Quality Control Intelligence

Correction lands inside the run

“We find the defect at the end of the line, once the cost is already sunk.”

Context

Where it started

Inspection sat at the end of the run, so early drift in heat or pressure surfaced far too late. Whole runs were downgraded or scrapped, and the operator heard on the next shift.

Action

What our team built

Vision models watch the line continuously against the golden batch profile. On deviation the agent trims heat, pressure and speed inside an envelope the plant sets, and every intervention is logged to the batch record so quality keeps a full audit trail.

Results

What changed

TYPICAL RANGEUp to 70%

less defect-related waste

In-run

correction while the batch is live

Per event

logging to the batch record

Figure drawn from published benchmarks for this pattern.

The system holds the setpoint. Reporting that the setpoint moved is what the old line already did, and it arrived a shift too late.

Where does your AI programme actually stand?

Ten minutes, scored across the dimensions that decide whether pilots ship. You get the score and the gap map immediately.

Related work

More from the pipeline