Enabling Real-Time Tire Intelligence through Embedded AI and Physics models. Traditional tire monitoring relies on basic pressure and temperature data, failing to capture real-world driving conditions. Because of this blind spot, tires are often driven unsafely with undetected wear, or replaced far too early—with only 14% actually reaching their true end of life.
Transforming Insurtech with In-Vehicle AI. This case study highlights how MOTER Technologies partnered with the Sonatus AI Director platform to embed advanced driver risk modeling directly within vehicles. This collaboration enables a dynamic, personalized insurance model that moves beyond traditional factors like age or ZIP code to focus on real-world driving behavior.
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.
Discover how Hyundai Commercial Vehicles launched the XCIENT Fuel Cell Truck and ELEC CITY Bus, delivering a new era of fleet innovation. With the help of Sonatus, Hyundai sought a flexible, scalable vehicle network that reduced design time, lowered costs,…
Electronic component manufacturer LG Innotek needed an infrastructure solution that could support the lifecycle improvement process for their software-defined automotive components, enabling LG Innotek to deliver continuously evolving products. Sonatus provided LG Innotek with an infrastructure to deliver closed-loop data…
Improved connectivity capabilities for vehicles have expanded proficiency in the gathering and use of telemetry data produced by in-vehicle components, controllers, and sensors. This data is essential in the evolution of software-defined vehicles; its insights empower OEMs to fuel continuous innovation and feed new revenue models enabled by software.