Private AI for semiconductor research teams.

Trace a defect back through the production evidence

Group defects, detect shifts and correlate failure patterns with recorded manufacturing conditions.

Inputs: Authorised inspection images, wafer or board identifiers, test results and process metadata.

From observation to completed task

Create an engineering review package and track investigation actions by lot or design revision.

Organise an internal research handover from approved material

The supporting records include approved methods, experiment notes and project plans.

Researchers validate results and protect unpublished work.

The systems involved

Inspection-system and test-data interfaces, labelled examples and revision-aware storage.

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

Validate detection on unseen lots; process changes and release remain engineering decisions.