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SemiAI

Bundle the solutions you need into one product

Compose 8 solutions to match your process — and tune the models to your domain

8 solutions you can compose

From Virtual Fab to INFER and PRISM — we combine solutions to match your process and the problem you're solving.

  • Virtual Fab

    Synthetic wafer data infrastructure for AI training. A 160M+ DB covers rare signatures and edge cases.

  • INFER

    Multimodal agent-based root-cause diagnostics. Ranks candidates against a domain KB; engineers validate step by step.

  • PRISM

    Real-time overlay & hotspot prediction. R² > 0.9 at 0.3 nm — about 3× RMSE improvement over LR / XGBoost.

  • Semi-Brain

    Domain-knowledge-driven reasoning engine. Combines Causal-RAG and Domain-Embedding to surface process causal structure.

  • Business Intelligence Suite

    Unified process & yield analytics, visualized at the unit of decision.

  • Sampling Optimizer

    Rule-based seeding plus GA optimization — metrology sampling redesigned for minimum cost, maximum coverage.

  • Defect Model Simulator

    Pre-validate and simulate defect models before HVM deployment to reduce rollout risk.

  • Semi-Vision

    Inter-tool drift correction, automatic defect inspection and accelerated frame averaging — one AI engine aligns multi-tool measurements onto a single reference.

Example compositions

How solutions get bundled to match real process challenges and adoption stages.

  • Virtual Metrology

    Predict measurement without measuring. Cover non-measured wafers across critical processes and reduce metrology load.

    SMILE Lite
    • Virtual Fab
    • PRISM
  • Root-Cause Analysis

    From anomaly signal to root cause — narrow candidates through causal reasoning grounded in a domain knowledge base.

    SMILE Pro
    • Virtual Fab
    • Semi-Brain
    • INFER
  • Source-Response Analysis

    Track upstream sources alongside downstream responses to interpret process signal and response together.

    SMILE Lite
    • Semi-Brain

Let's scope a custom PoC together.

We review your process characteristics, deployment scope, and data environment — then design how the solutions should be composed.