Inspect
Evaluate defect classes, spatial signatures and image retrieval against labeled inspection examples.
Semiconductor intelligence /Semiconductor
Connect wafer signatures, inspection results and process history. Specialist agents assemble the evidence behind an excursion so yield engineers can compare hypotheses and choose the next investigation.
INSPECTION · PROCESS CONTEXT · YIELD LEARNING01 /The investigation bench
Explore three illustrative spatial patterns. The pattern changes the next check; it does not establish the root cause.
A spatial pattern gives the investigation a direction. Compare related lots, chambers and steps before attributing a cause.
Compare neighboring lots and relevant process traces.
02 /Connect the engineering context
A model can identify an unusual pattern. Agent orchestration carries the investigation across the systems that explain it.
Evaluate defect classes, spatial signatures and image retrieval against labeled inspection examples.
Join lot genealogy, tool history, metrology and time-aligned traces through permitted data interfaces.
Retrieve prior excursions, compare hypotheses and preserve the evidence for a process engineer.
03 /The release boundary
Engineers validate candidate causes and approve any process or recipe change.
NEXT /A focused first engagement
Agree the workflow, the available data and the acceptance criteria. Build a bounded pilot, evaluate it with your team, then decide what to extend.
Shape your Semiconductor intelligence projectCUSTOM DEVELOPMENT · QUOTATION ON REQUEST01A traceable inspection-to-process data path
02A bounded investigation assistant
03An engineer-reviewed evaluation by defect class
Read the benchmark-based scenarioThe case file is a modeled engagement, not a client result.