Sonatus unveiled its AI Director platform to enable in-car edge AI, offering OEMs the capability to implement AI models in vehicles for enhanced performance, cost-efficiency, and data privacy.
The platform provides a comprehensive toolchain for AI model training, validation, optimization, and deployment, significantly reducing development time from months to days. It supports various AI models, including neural networks and language models, to enhance driving experiences, maintenance practices, and overall vehicle performance.
“The advancement of artificial intelligence is paving the way for unprecedented possibilities in the automotive sector,” stated Jeff Chou, CEO and co-founder of Sonatus. “Through Sonatus AI Director, we are empowering OEMs to seamlessly integrate diverse AI algorithms into vehicles, fostering innovation across cloud, silicon, Tier-1 suppliers, and AI developers.”
Key advantages include reduced data upload costs, enhanced data security, and the ability to leverage existing hardware while scaling AI performance through new silicon technologies.
Launch Partners such as NXP, Arm, and AWS showcase various applications like virtual sensors, battery diagnostics, driver monitoring, and cybersecurity, highlighting the platform’s versatility.
Sonatus AI Director complements the company’s existing features like anomaly detection and vehicle diagnostics, with plans to present the platform at the upcoming IAA Mobility conference in Munich.
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AI/ML | automotive edge computing | connected vehicles | edge AI | Sonatus
