He argued that the value of physical AI must be rooted in the field, refined through continuous iteration in real-world scenarios.

The core team brings over a decade of R&D experience, having contributed to the development of more than 150 types of unmanned vehicles.

Looking ahead, Zelos plans to collaborate with various automakers via a V2X model to build ecosystem vehicles by the end of 2025.

On the technical front, Zelos has constructed a "physical AI brain" comprising three modules: the vehicle-side VIA algorithm, the cloud-side VI model, and Safety AI.

"Let those who understand cars build vehicles, and let those who understand L4 provide the safety net," he said.