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SemiAI

Data, prediction, diagnosis — one stack

An AI solution built for the speed and precision of semiconductor manufacturing — predicting defect root cause in real time and stopping yield loss before it hits the line.

Two engines, learning the line and the data together.

PRISM and INFER read the production line in real time to predict and diagnose; validated outcomes flow back into Virtual Fab's data, sharpening every next cycle.

  1. Production

    Production line

    Where defect signals and lot data originate. Both engines watch in real time, and validated corrections return to the next lot.

  2. Prediction

    PRISM

    Real-time overlay and hotspot prediction proposes corrections for the next lot.

  3. Diagnosis

    INFER

    Domain-grounded causal reasoning narrows root-cause candidates; engineers validate each step in the loop.

  4. Foundation

    Virtual Fab

    Synthetic data grounded in process, equipment and defect rules — filling out the training distribution for both engines.

Eight solutions.

AI engines

Tell us the challenge — we'll scope it with you.

You don't need detailed data ready. We reply within two business days with a tailored deployment scenario.