AutoTune AI: A reverse calculation AI that maximizes engineering capabilities and yield.
From an AI that predicts WHAT to an AI that answers HOW.
Do you have any of the following concerns? - There are many parameters to set as manufacturing conditions, and the optimal settings can only rely on the experience of veteran engineers. - While I understand the manufacturing conditions that affect quality, I cannot quantify their optimal values. - It takes time to find stable production conditions when starting up a new process. AutoTune AI is an AI that conducts correlation analysis between manufacturing conditions and quality, but it is not just an AI that searches for parameters with a high impact on quality. It learns the nonlinear causal relationships between manufacturing conditions (input parameter groups) and inspection results (quality data), automatically exploring the "sweet spot" that adjusts the entire data set to the center of the target tolerance (nominal value) while minimizing variability. It autonomously judges and excludes accidentally obtained good results or outliers, proposing realistic and stable optimization conditions.
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basic information
- AutoTune AI does not depend on specific GPUs. It operates on servers or PCs equipped with high-spec CPUs. - It uses local AI, allowing data collection and analysis to be completed within its own security environment.
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We are introducing analysis cases on our website. For more details, please visit the product page.
Company information
We specialize in the collection, analysis, and utilization of quality and process data. Our goal is not merely to provide mathematical interpretations of data, but to help you turn data into actionable insights. With deep expertise in inspection equipment, machine tools, and industrial machinery, Process Artz supports you in building structured process data systems that enhance both product quality and manufacturing efficiency.
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