SimNumerica

We design and implement Scientific Machine Learning algorithms for monitoring physical, environmental, or industrial systems. Often, this activity is aimed at developing Embedded Digital Twins. Our primary area of focus is Firmware, which is the most practical and concrete application for combining the efficiency of numerical algorithms with the practical applicability of electronic engineering, providing a complete and real-time view of monitored systems. We are a spin-off from the University of Padua, and this allows us to be a bridge between scientific research and the real world.