Sonatus has announced Sonatus AI Director, a platform that enables OEMs to deploy AI at the vehicle edge. With the automotive AI market projected to reach $46B annually by 2034, in-vehicle edge AI software and services will become increasingly important. Sonatus AI Director provides an end-to-end toolchain for model training, validation, optimization, and deployment, integrating with vehicle data and offering cloud-based remote monitoring of model performance. This comprehensive toolchain lowers barriers to edge AI adoption and innovation, reducing effort from months to weeks or days. By utilizing real-time and contextual vehicle data, Sonatus AI Director enables OEMs to unlock new features and capabilities, enabling adaptive driving experiences, proactive maintenance, improved efficiency, and optimal vehicle performance. It supports a range of model types, including physics- and neural network-based models, as well as Small and Large Language Models (SLMs/LLMs), catering to diverse vehicle use cases. Sonatus AI Director solves key challenges the industry faces in deploying in-vehicle edge AI:
Vehicle manufacturers (OEMs) gain a consistent framework that enables them to deploy models from different vendors with a single platform and across vehicle models.
Tier-1 suppliers can optimize the systems they deliver to OEMs and more easily leverage AI across hardware and software technologies.
Silicon providers can help their customers take full advantage of the compute and AI acceleration capabilities their chips offer.
Suppliers and AI model vendors gain access to the needed input data from across different subsystems while protecting the intellectual property of their models.