DIGITAL TWIN

A digital twin is a virtual representation of an object, process or system that spans its lifecycle. It is updated from real-time data, and uses simulation and machine learning to help decision-making.

Our parsimonious neural network technology is an asset for digital twin applications:

  • Accuracy (which is a direct consequence of parsimony) allows for the early detection of the smallest drift between the model and the real system

  • Early model update, on the basis of a short sequence of data, maintains the virtuous cycle of accuracy

  • Early detection of attacks and anomalies

  • Evaluation and update of the model can be embedded on small chips

  • Long term dynamic prediction

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OUR SUCCESS STORIES

Visuel Digital twin.png
Antenna
Gas network
Aircraft tires
Nuclear core
cooling system
Turbocharger
Engine shaft