Compredict's solution uses AI-based virtual sensors to precisely monitor the vehicle condition and measure usage-relevant quantities to help mobility providers reduce their environmental impact.
Based on the data from virtual sensors, Compredict creates digital twins for each vehicle and a deep qualitative database from which they can learn and fit their models. With data-driven analytics algorithms and pipelines, they can assess the current condition of vehicles and forecast their future usage. Compredict then formulates recommendations for car makers to design vehicles that are lighter and cleaner, enabling fleet operators to extend vehicle utilisation and reduce their ecological footprint.
BNP PARIBAS GROUP / EY / FAURECIA / ICARE / MICHELIN / MOBIVIA / RENAULT / SAINT GOBAIN / THALES / ViaID
EXECUTIVE DIRECTOR - RESEARCH & DEVELOPMENT: