• Automated optical inspection (AOI): Defect identification and classification with minimal annotated data
• Data-driven manufacturing quality control: Explainable Cause AI model infers root causes via a visualized causal graph providing actionable insights to reduce defects and optimize production parameters.
• 3D object identification/inspection: Design schema of target object as a golden standard without collecting training images
• Demand forecasting: Causal AI model incorporates internal sales data and external economic data for accurate and robust prediction in near term, long-term, or even in multiple microsegments (combination of product and geography).

• AI-enabled Digital Twins
• AI for Materials
• Automating and optimizing legacy machines and processes
• Automating Quality Prediction and Control
• Demand-driven Production
• Optimize productivity including increase OEE
• Predictive Maintenance

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