Production line
Where defect signals and lot data originate. Both engines watch in real time, and validated corrections return to the next lot.
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.
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.
Where defect signals and lot data originate. Both engines watch in real time, and validated corrections return to the next lot.
Real-time overlay and hotspot prediction proposes corrections for the next lot.
Domain-grounded causal reasoning narrows root-cause candidates; engineers validate each step in the loop.
Synthetic data grounded in process, equipment and defect rules — filling out the training distribution for both engines.
A real-time prediction engine for process drift
A causal reasoning engine for root cause analysis
A synthetic data infrastructure for AI training
A multimodal inference engine reasoning over charts, process context and a domain knowledge base
An SEM measurement alignment engine
A BI suite built on semiconductor-native visualizations and chained drill-downs
Automating the trade-off between metrology throughput and model fidelity
Train, manage and simulate overlay correction recipes in one workspace
You don't need detailed data ready. We reply within two business days with a tailored deployment scenario.