On Thursday, Valeo and Natix announced they will build an open-source, AI multi-camera World Foundation Model to improve autonomous driving by learning and predicting real-world motion and adapting to traffic. The project aims to advance vehicle perception and decision-making for safer, more scalable autonomy.
They pledged to release models, datasets and training tools so developers can fine-tune capabilities. The first WFM version is expected within the next couple of months, a Natix spokesperson said.
Wayve already runs WFMs in its vehicles, including a navigation test in Las Vegas without prior city training, shown in a post by the company CEO (a post by the company CEO).
WFM sits inside the DePIN trend that links blockchain with community-owned physical infrastructure. Industry research reports Natix operates a decentralized multi-camera network with hundreds of thousands of contributors and hundreds of millions of kilometers of driving data, according to industry research firm Messari.
One major competitor is Alpamayo, a family of open-source vision-language-action models launched by Nvidia (Alpamayo). Alpamayo also integrates camera and sensor data for reasoning-based autonomy.
“The teams that build the first scalable world models will define the foundation of the next AI wave: Physical AIs.” said Alireza Ghods, co-founder and CEO of Natix.
The firms say decentralization and open sourcing will allow wider testing across conditions and improve safety. A related demo video is available (demo video).
