Natural-language commands
A single line — "Show me Device A's trend from yesterday" — and the AI handles search through chart creation autonomously.
Two autonomous modes accelerate the engineer's analysis workflow end-to-end.
From search and selection to chart creation and interpretation — in a single natural-language line. Your analysis copilot Smile Brain reads engineer intent and autonomously calls the tools needed to deliver the answer.
A single line — "Show me Device A's trend from yesterday" — and the AI handles search through chart creation autonomously.
Reflects the user's owned Device · Layer scope so responses match the situation.
Streams the AI's reasoning trail in real time, so engineers can verify the basis for each judgment instantly.
Ask once — "Investigate the yield anomaly on Wafer X" — and specialist agents collaborate end-to-end: clue detection → hypothesis → verification strategy → multi-angle analysis → evidence synthesis → validation → report — autonomously. Moving beyond reactive response to proactive analysis grounded in causal reasoning.
AI forms hypotheses, plans the verification strategy, generates and runs charts and analysis code, validates the results, and authors the report — end to end.
Causal RAG, built in-house on Virtual Fab, surfaces defect clues first and only allows hypotheses grounded in data — preempting hallucination.
Engineers stay in the loop at the critical branches — wafer selection, hypothesis review, strategy approval, validation acceptance.
If the Verifier Agent rejects a hypothesis based on the assembled evidence, the run automatically retries with a new hypothesis while preserving prior results.
Runs SMILE's standard charts alongside custom analysis code that the LLM generates and executes against the engineer's request and data.
Preview a draft report — process, charts, conclusions, and recommendations — and download it as-is.
A real-time prediction engine for process drift
Predicts process hotspots in real time and proposes corrections for the next lot — catching drift before APC reacts.
A causal reasoning engine for root cause analysis
An inference engine that narrows root causes from dozens of candidates using causal reasoning over a domain knowledge base — with engineers validating each step.
You don't need detailed data ready. We reply within two business days with a tailored deployment scenario.