Semi-Brain
A multimodal inference engine reasoning over charts, process context and a domain knowledge base Takes chart data, images, process metadata and domain knowledge together to produce a first-pass interpretation — and follows natural-language follow-ups along the analysis thread.
What it does
- 01
Multimodal first-pass interpretation
Feeds chart data, images, spec (USL/LSL), process metadata and the domain KB into the model in one pass, returning patterns, anomalies and cause candidates in natural language.
- 02
Conversational follow-ups along the thread
Keeps the most recent chart, selected wafers and time range as context so 'show me → narrow it down → zoom in' chains naturally.
- 03
Engineer-validated, then acted on
Engineers spend their time on validation and decisions instead of re-reading from scratch; LLM outputs always pass a logging and verification step.
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