This case study discusses how NXP's scalable AI solutions and Sonatus AI Director enable real-time, edge-based decision-making in vehicles. While cloud-based AI adoption is growing, in-vehicle AI remains limited, primarily to ADAS and autonomous driving, presenting opportunities for onboard AI compute to enhance vehicle functions with benefits such as reduced latency, lower data transmission costs, improved privacy, and IP protection. NXP’s S32 automotive platform, featuring heterogeneous compute and accelerators, enables safe and scalable AI applications. Sonatus AI Director provides an end-to-end toolchain for AI model development, deployment, and remote monitoring, integrated with NXP’s hardware and software ecosystem.

Qnovo’s partnership with Sonatus revolutionizes battery safety deployment in electric vehicles by significantly reducing integration time from months to days. The combined solution leverages Qnovo’s AI-driven diagnostic software integrated with Sonatus’s AI Director to provide flexible, scalable, and rapid deployment across various OEM platforms. It offers highly accurate battery fault prediction, over-the-air updates, and contextual data analysis, resulting in enhanced safety, reduced costs, and accelerated market readiness. Qnovo demonstrates proven performance with no safety incidents across millions of kilometers, supporting widespread adoption in the industry. This collaboration advances the automotive industry’s adoption of smarter, safer, and more efficient battery management solutions.

This case study examines how Edge AI threat detection can enhance efficiency and lower costs in connected vehicles. Traditional cloud-first cybersecurity models face challenges such as rising costs, false alarms, and the need for frequent updates. VicOne’s GenAI-based in-vehicle intrusion detection, combined with Sonatus AI Director, analyzes vehicle telemetry locally to identify security risks early, reducing cloud load and false positives.

COMPREDICT, in partnership with Sonatus, has developed an AI-based Virtual Headlight Leveling Sensor to meet the 2027 UN R48-09 regulation, replacing costly traditional sensors. This software-only solution utilizes CAN signals and the Sonatus AI Director platform to deliver accurate, real-time headlight leveling across various vehicle platforms, reducing hardware costs by up to $20 per vehicle. The solution offers regulatory compliance, faster integration, and hardware flexibility, supporting the shift toward software-defined vehicles. Additionally, COMPREDICT is expanding its Virtual Sensor offerings for other vehicle systems, leveraging the Sonatus platform for scalable deployment. This collaboration advances software-defined vehicle systems, emphasizing efficiency, cost savings, and regulatory adherence.