Ferritico develops machine learning models for manufacturing processes, combining generic models with customized

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Leverages correlation between e.g. the output (Y) and each process metric (knXn) : Y = k1X1 + k2X2 + k3X3 + k4X4

 

Selected output property (Y) can be optimized using the model, i.e. ferritico displays how to tweak process steps to improve or increase output  

 

Model can be set up to track product defects, i.e. display what process data has strong correlation with investigated property

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Automation can be enabled using reinforcement learning