Private AI for manufacturing engineers.

Explain a yield change with the production evidence

Compare defect patterns before and after changes, identify correlations and test process hypotheses in approved analytical tools.

Inputs: Inspection images, process measurements, cycle data, material lots and engineering change histories.

From observation to completed task

Create an engineering investigation with affected lots and proposed validation work.

Prepare an engineering-change review from approved records

The supporting records include approved change requests, work instructions and test summaries.

Engineers validate process changes and production safety.

The systems involved

MES and inspection interfaces, time alignment and product-specific analytical models.

SOS AI configures the local models and tool permissions for this workflow. Actions in business software follow the authority you approve; uncertain cases and actions outside those limits go to the responsible person.

What a useful result must get right

Engineers establish causation and approve parameter changes; test across unseen batches and operating regimes.