Coretura Partners with Accenture to Develop Software-Defined Platform for Heavy Commercial Vehicles

Coretura has signed an engineering agreement with Accenture, with the partnership aimed at accelerating the development of a standardized software platform intended for trucks, buses, and other medium and heavy-duty commercial vehicles. The arrangement aligns with the current operational roadmap of Coretura, a software-defined vehicle (SDV) platform company formed as a 50:50 joint venture between Daimler Truck and Volvo Group, to deliver its first commercialized products toward the end of the decade.

Under the terms of the agreement, Accenture will act as Coretura’s engineering partner, providing technical capabilities in electrical and electronic (E/E) architecture, software abstraction, and experience from the passenger and commercial vehicle segments. Coretura will retain complete ownership of the platform's architecture and overall strategic direction, while Accenture teams will assist with development, integration, testing, documentation, and compliance processes.

The initiative addresses an industry-wide practice where manufacturers typically buy and integrate software independently for individual projects, frequently starting the development cycle from zero. Coretura intends to replace these isolated projects with a reusable, generation-independent software stack. According to the joint venture, creating a single software platform, language, and standard will help commercial vehicle manufacturers reduce development costs and stabilize time-to-market metrics. For fleet operators, the central software system is designed to handle over-the-air performance upgrades and new feature installations throughout a vehicle lifecycle exceeding 15 years.

Johan Lundén, Chief Executive Officer of Coretura, stated that building a full-stack SDV platform requires specialized expertise across embedded software, middleware, cybersecurity, and functional safety. Rainer Oder, SDV Embedded Software Lead at Accenture, noted that the collaboration will focus on addressing architectural challenges such as hardware abstraction, API management, and AI-driven engineering optimizations.