Former AI researcher with CNRS, CNES, DFKI, NASA and research engineer with Inria.

Working with teams across Europe and the US, Jolibrain's activities are dedicated to the building of in production Artificial Intelligence systems for high automation of a range of industrial tasks.

The industries that trust us are eclectic because AI is pervasive. They range from large cybersecurity players to top art institutions, AI hardware manufacturers, aerospace leaders and machine learning startups around the globe.

Jolibrain team's technical and theoretical focus is on Machine Learning, Decision under Uncertainty, Robotics, Search Engines, Optimization and Distributed Systems.

We work with both very large corporations and startups, solving automation problems with no off-the-shelf solution.

Our experience is clear: bullet-proof software is Open Source. We like creating, contributing, learning and sharing.

All our products are publicly available and Open Source.