Traton to build more trucks with PlusAI’s autonomous driving software
Autonomous trucking software provider PlusAI will expand its partnership with commercial vehicle manufacturer Traton Group in a bid to accelerate the development and scaled deployment of on-highway autonomous trucking solutions in the U.S. and Europe, the companies said this week.
As part of the deal, Munich, Germany-based Traton will commit up to $25 million in R&D funding to PlusAI to accelerate factory integration of its SuperDrive software into autonomous trucks of Traton’s brands, which include Scania, MAN, and International.
According to California-based PlusAI, the partnership comes as freight fleets across the U.S. and Europe are facing persistent driver shortages, rising operating costs, and increasing demand for safer, more reliable freight capacity. However, meeting that need with broad adoption of autonomous vehicles will depend on confidence in vehicle performance, rigorous safety validation, and a commercialization model led by established OEMs.
The expanded partnership will build on the collaboration first announced in 2024, when PlusAI’s virtual driver system, SuperDrive, was selected as the on-highway autonomous driving platform for Traton’s brands. Since then, the companies say they have reached technical and operational milestones toward delivering Level 4 autonomous trucking capabilities. Notably, International initiated autonomous fleet trials in Texas with an unspecified logistics and transportation operator.
“Autonomous trucking is a strategic pillar of Traton’s long-term technology roadmap,” said Niklas Klingenberg, Member of the Executive Board, responsible for Research & Development in the Traton Group. “Autonomy represents a meaningful opportunity to deliver higher uptime and greater value for our fleet customers while strengthening the long-term competitiveness of our brands. Our expanded partnership will reflect both this confidence and our shared goal of bringing factory-built on-road autonomous trucks to market at scale.”
