C3 AI Yield Optimization uses AI to predict product quality and manufacturing yield issues before they occur, enabling rapid triage and mitigation.
Reduction in off-spec product
Accuracy in detecting low-yield batches
Reduction in lab testing required without impacting quality
Key drivers for product quality and yield are inferred through advanced AI techniques
AI predictions for emerging product issues enable operators to act earlier in the process when mitigation is easier
Near-real-time integration of all relevant data from operational systems, enterprise systems, and external sources (e.g., weather)
Native support for continuous, batch, and semi-batch manufacturing processes
Robust and rapid what-if analyses to simulate different conditions
A unified and integrated application to streamline collaboration across key manufacturing operations
Over the course of a 12-week period, the C3 AI team worked with a discrete manufacturer to identify faulty parts early and improved processes.Learn more
The semiconductor manufacturer implemented C3 AI Yield Optimization and can now identify bad wafers, save quantifiable time and costs, and tune design and manufacturing processes to optimize yields.Learn more
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