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Automotive supplier Valeo and Solana-based DePIN firm Natix Network have partnered to build an open-source AI camera model for autonomous driving.
The companies said they are developing a World Foundation Model designed to learn and predict real-world motion across traffic environments.
The multi-camera system aims to move AI beyond text-based models into physical, real-world applications.
Natix said the model will support research and safer deployment of self-driving technologies.
Valeo and Natix plan to openly release the model, datasets and training tools to developers.
The first version of the World Foundation Model is expected to be ready within the next few months.
Autonomous driving firm Wayve is already using similar foundation models in vehicle testing, including trials in Las Vegas.
Natix said the project sits within the DePIN sector, which combines blockchain with decentralised physical infrastructure.
The companies said decentralisation would allow physical AI systems to be trained across wider real-world conditions.
“The teams that build the first scalable world models will define the foundation of the next AI wave: Physical AIs,”
Alireza Ghods said.
Valeo said the goal of the model is to responsibly advance mobility intelligence and autonomous vehicles.
Natix was founded in 2020 and operates a decentralised camera data network with large-scale driving datasets.
At the time of reporting, Solana price was $128.26.