Stradvision has partnered with Arm to pair its perception technology with Arm Zena Compute Subsystems (CSS), a pre-integrated, validated platform aimed at accelerating development for AI-defined vehicles.
Zena CSS, Arm’s first-generation CSS for automotive applications, is designed to support evolving industry needs by providing a unified compute platform capable of handling workloads across central compute, cockpit and ADAS domains.
“At Stradvision, we’re focused on enabling the next generation of vehicles with intelligent, high-efficiency perception systems,” said Philip Vidal, CBO of Stradvision. “Our partnership with Arm makes it easier for OEMs and Tier 1s to scale from entry-level ADAS to premium autonomous features, all while futureproofing their investment.”
Stradvision’s support for the Arm platform enables performance portability and flexibility across multiple generations of SoCs from various silicon partners. Through this collaboration, Stradvision is providing efficient and scalable perception software optimized for Arm-based platforms, including Zena CSS, to help OEMs, Tier 1 suppliers and silicon providers bring products to market faster and adapt to a wide range of SoCs and vehicle segments. The approach also supports software stack standardization, helping reduce system complexity and development timelines.
The collaboration highlights both companies’ shared dedication to open, standards-based platforms and aligns with Arm’s commitment to ecosystem-led initiatives like SOAFEE that foster innovation, reduce integration friction, and support continuous software evolution.
Stradvision’s support for Arm architecture ensures portability and long-term investment protection, enabling auto makers to deploy its advanced perception stack seamlessly across multiple generations of hardware, from entry-level ADAS to high-end autonomous driving features.
A key part of what Stradvision is leveraging is the availability of natively accelerated virtual platforms based on Zena CSS to optimize software stacks for future Arm-based automotive SoCs. By aligning Stradvision SVNet with virtual Zena CSS platforms, the company says it is enabling OEMs to begin software development and testing significantly earlier in the cycle, cutting time-to-production and enabling scalable, continuous integration and deployment. The company has said this is critical for Stradvision’s advanced perception stacks, which support automated driving at L2+ level and above, where extensive sensor data must be processed to meet rigorous testing demands.
“Auto makers and their partners face growing expectations from drivers to deliver AI-defined features that enhance autonomous driving assistance and personalize the in-cabin experience. With the support of ecosystem partners like Stradvision, Arm Zena CSS lays the foundation for safer, smarter and more efficient next-generation automotive systems,” said Suraj Gajendra, vice president of automotive products and software solutions, automotive line of business, Arm.
