Wayve announced a $60 million investment from AMD, Arm, and Qualcomm Ventures, extending its Series D round and strengthening its position in embodied AI for autonomous driving. The new funding builds on Wayve’s $1.2 billion Series D and brings additional backing from leading technology companies across the automotive compute stack, supporting the company’s efforts to deploy its AI Driver technology globally. Wayve is developing end-to-end embodied AI software that enables point-to-point navigation across different environments and vehicle platforms, spanning advanced driver assistance systems and higher levels of autonomous driving. Unlike traditional systems that rely on high-definition maps or are tied to specific hardware, Wayve’s AI Driver is designed to operate across a wide range of vehicles and compute architectures. The investment is aimed at accelerating integration of the AI Driver across automotive compute platforms, reducing complexity for automakers and fleet operators while speeding time to market. The expanded investor base reflects closer collaboration between software and hardware providers to enable scalable deployment of AI-driven vehicles. Wayve has already established partnerships across the ecosystem, including collaborations with NVIDIA for AI training and vehicle platforms, as well as Qualcomm Technologies to deliver pre-integrated solutions on the Snapdragon Ride platform. The company’s approach focuses on building adaptable AI systems capable of sensing, decision-making, and acting in real time, supporting the transition toward production-scale deployment of autonomous and semi-autonomous vehicles. As the automotive industry shifts toward AI-defined vehicles, Wayve is positioning its platform as a flexible, hardware-agnostic solution that can operate across both existing vehicle architectures and next-generation systems. KEY QUOTES “For embodied AI to scale, automakers need design choice and supply chain flexibility. We’re building an AI Driver that works across the full automotive compute ecosystem, from architectures already used in millions of vehicles today to the platforms powering the next generation of