With the Sonatus AI Director, the US company is introducing a development platform for edge AI that enables automakers and suppliers to bring AI applications into vehicles more quickly and efficiently. The solution aims to replace the fragmented approaches currently seen in the industry.

Artificial intelligence is becoming increasingly important in the automotive sector. According to Precedence Research, the market is projected to reach US$46 billion by 2034. Solutions that operate directly in the vehicle are set to play a decisive role.

Sonatus AI Director provides OEMs and suppliers with a complete development environment for training, validating, optimizing, and deploying AI models. The platform is integrated into the vehicle architecture, can be run in isolated environments, and can also be monitored remotely via the cloud. Unlike the often fragmented setups using separate MLOps tools, this solution reduces implementation time from several months to just a few weeks or even days.
“Artificial intelligence is creating opportunities for new ideas that were never before possible in vehicles,” said Jeff Chou, CEO and co-founder of Sonatus.

In-vehicle edge AI makes it possible to leverage real-time data and contextual information for new functionalities. These include personalized driving experiences, predictive maintenance, improved efficiency, and optimized vehicle performance.

With Sonatus AI Director, AI models can be executed directly in the vehicle, offering advantages such as lower latency, reduced data transfer costs, data protection at the source, and reliability even when connectivity is interrupted.

“With Sonatus AI Director, we are empowering OEMs to deploy AI algorithms of all types into vehicles easily and efficiently, unlocking new categories and opening up an ecosystem of innovation that connects cloud, silicon, Tier-1 suppliers, and AI model developers.”