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

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

Automation can be enabled using reinforcement learning

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