WHO
Automotive OEMs, Tier-1 suppliers, and mobility technology providers developing and operating AI-enabled vehicle functions in software-defined vehicles.
WHAT
AI models developed in laboratory or preproduction environments often behave differently under real-world operating conditions. Automotive teams face the challenge of deploying AI models securely across distributed vehicle fleets, monitoring inference behavior in realtime, collecting relevant operational data, and continuously improving model quality without increasing or exceeding available bandwidth putting a limit on unnecessary cloud usage costs.
HOW
The combined solution of aicas EdgeSuite and the NXP eIQ® Auto SDK enables a continuous AI DevOps workflow for automotive edge intelligence. AI models can be developed using existing ML toolchains, deployed securely to vehicles via controlled Over-The-Air (OTA) workflows, monitored during operation, and continuously optimized based on real vehicle data.
The solution supports realtime inference monitoring, targeted edge data collection, selective telemetry transfer, and feedback loops that feed operational insights back into AI training pipelines. EdgeSuite integrates into existing AI and DevOps environments without replacing established workflows.
VALUE
The approach helps automotive teams accelerate AI deployment, shorten validation cycles, improve model quality, and reduce operational complexity. By enabling continuous monitoring and optimization in real vehicle environments, the solution supports more reliable, scalable, and cost-efficient AI operations for software-defined vehicles.