Emmi AI's NeuralMould predicts injection-moulding filling in 1 to 2 seconds, built with SIMCON

Emmi AI presents NeuralMould, a model of the filling stage of injection moulding built with SIMCON, an injection-moulding CAE company. Its model page describes an AB-UPT variant that takes the mould geometry, process parameters, material properties and gate locations, and returns pressure, temperature and shear-rate fields plus pressure and flow-rate curves at the gates. Emmi says it was trained on over a million transient trajectories across thousands of materials, and gives 1 to 2 seconds per prediction against 30 minutes to 1 hour for a traditional simulation, with "consistent 5% relative errors". No paper accompanies it; a demo on the model page asks for a work email.

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