Virtual Fab
A synthetic data infrastructure for AI training Solves data scarcity and missing edge-case coverage with domain knowledge-based synthetic generation.
What it does
- 01
Validated synthetic data generation
Generate synthetic wafer data grounded in process, equipment and defect rules, then cross-validate against real fab measurements to confirm distribution alignment.
- 02
Coverage of rare signatures
Bring edge cases and uncommon defect patterns into the training distribution to harden the model.
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