Coretura, a software-defined vehicle (SDV) platform founded by Daimler Truck and Volvo Group, signed an engineering agreement with Accenture to accelerate development of a software platform for trucks, buses and other medium- and heavy-duty commercial vehicles.
"Our purpose is to advance mobility at the speed of ideas, and that takes depth," says Johan Lunden, CEO of Coretura. "Building a full-stack SDV platform demands expertise across embedded software, middleware, cybersecurity and functional safety, all designed for vehicles with lifecycles measured in decades."
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Accenture, a news release says, brings software-defined vehicle experience and broader automotive engineering capabilities that can support Coretura's roadmap to deliver the first commercialized products toward the end of the decade.
"The commercial vehicle industry is a prime example of the need for companies to reinvent," says Tracey Countryman, global lead for supply chain and engineering at Accenture. "It requires bold strategic moves like Daimler Truck and Volvo Group are making with Coretura and Coretura is making with Accenture. Our collaboration is testament to Accenture's commitment to supporting the products we develop with clients long-term."
Coretura's platform, it says, will provide a reusable, generation-independent software stack that lowers costs and secures consistent time to market. For fleet operators and end customers, it will enable commercial vehicles that keep getting smarter, safer and more valuable after launch, with new features and performance upgrades delivered continuously over the air.
"Helping the industry advance software-defined vehicles is a priority for Accenture," says Rainer Oder, SDV embedded software lead at Accenture. "Our landmark collaboration with Coretura is designed to change embedded software engineering for automotive platforms. Together, we are looking to solve the challenges of a fully software-defined architecture — addressing critical areas such as hardware abstraction, API management and AI-based engineering optimizations."
