Our goal is to speed up design processes and to reduce time to market:

  • NeurEco creates Reduced Order Models (ROMs) from a small amount of simulation data
  • It goes beyond ROMs by creating a real-time copy of a complex high-fidelity simulation tool, from a few simulation results
  • Beyond learning the data, NeurEco learns the underlying rules; It happens that the NeurEco model is more in line with the laws of physics than the data itself
  • This is the basis of a robust long-term dynamic prediction
  • Our success stories