Valeo, KE:SAI launch open — source autonomous driving AI R&D initiative

Valeo announced an open-source R&D partnership with KE:SAI to build a general-purpose autonomous driving AI that is fully reproducible. Project targets parity with leading public driving benchmarks, then aims to exceed them; trained models, code, datasets slated for release. Work starts with large-scale real-world driving logs, using a sensor-agnostic architecture designed to adapt across vehicles, cameras, sensor setups. Development roadmap adds reinforcement learning in simulation, supported by learned world models to cover rare safety-critical scenarios. Valeo reported 2025 revenue of EUR 20.9 billion, positioning the effort as a strategic push into open foundations for physical AI. Disclaimer: This news brief was created by Public Technologies (PUBT) using generative artificial intelligence. While PUBT strives to provide accurate and timely information, this AI-generated content is for informational purposes only and should not be interpreted as financial, investment, or legal advice. Valeo SA published the original content used to generate this news brief on October 13, 2026, and is solely responsible for the information contained therein. (C)