Support yield across diverse processes
with analysis, prediction and operations.
Across customer-specific recipes, product variations and large equipment fleets, identify process issues, predict outcomes before processing and maintain AI performance in production.
Foundry challenges
Recipes across customers and products
Different products and customer requirements create varied process conditions. Engineers need to understand how recipe settings, equipment behavior and product differences affect results.
Yield ramp-up for new processes
New process introduction requires repeated analysis and tuning. Identifying influential factors earlier helps accelerate process optimization.
AI operations across many tools
Changes in equipment, products and inspection environments can affect model performance. Continuous monitoring keeps AI operations aligned with production conditions.
BFAI solutions
Combine causal analysis, AI model operations, visual inspection and manufacturing knowledge to address your production challenges.
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| Challenge | Product | Resulting capability |
|---|---|---|
| New-process ramp-up | Causal AI Platform | Identify process issues, predict outcomes before processing and optimize tuning. 20–30% faster yield ramp-up in advanced-node development. |
| AI operations across tools | Enterprise MLOps | Monitor AI performance, detect drift, manage retraining and evaluation, and coordinate model deployment across production tools. |
| Inspection workload | Visual inspection AI | Streamline verification review and defect classification, reducing inspection time from minutes to seconds. |
| Knowledge transfer | Ontology-based Local LLM | Make manufacturing expertise accessible through structured knowledge, technical document retrieval and local AI assistance. |
Use cases
Predict outcomes before processing
Combine equipment, process and sensor data → analyze causal relationships → predict process outcomes → inform processing decisions and parameter optimization. Product: Causal AI Platform.
Identify the causes of yield loss
Combine process, equipment and inspection data → trace potential causes using causal graphs → explore alternative conditions through counterfactual analysis → explain improvement proposals with a local LLM. Products: Causal AI Platform and Ontology-based Local LLM.
Choose a deployment suited to your site. Deployment options & implementation
Start with your manufacturing challenge.
Talk to us about your process, data and deployment environment.