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Die neue Edge-KI-Plattform AI Director von Sonatus reduziert Aufwand und Komplexität bei der Integration KI-basierter Funktionen in Software-defined Vehicles und unterstützt bestehende ECUs.

Die Integration von Edge-KI in Software-Defined-Vehicle-Architekturen (SDV) leitet eine neue Ära der Intelligenz im Fahrzeug ein. Sie ermöglicht eine Vielzahl von Anwendungsfällen – von der Echtzeit-Systemoptimierung über adaptives Energiemanagement bis hin zu vorausschauender Diagnostik und personalisierten Nutzererlebnissen.

At IAA Mobility in Munich, September 9-14, 2025 (press day September 8), Elektrobit will showcase its expanding line of open-source and virtual development solutions enabling carmakers to accelerate the development of software-defined vehicles (SDVs). Elektrobit technology is powering the future of automotive software from HMI and virtual development to over-the-air (OTA) updates, cloud-native workflows and safety-critical systems.

Software-defined vehicles are misunderstood, and automakers must reformulate their efforts to build them.

Automakers have cut back on software initiatives. They have embraced open-source development. They have refocused on platforms across brands and models, rather than on incremental changes to stacks powering different software domains.

Sonatus zeigt auf der IAA, wie KI und softwaredefinierte Fahrzeugarchitekturen die kommende Generation vernetzter Mobilität ermöglichen.

In the fast-paced and rapidly transforming landscape of commercial mobility, one thing is increasingly clear: the future of commercial vehicles will likely be software-defined.

Vehicle data is critical for original equipment manufacturers (OEMs) to drive continuous product innovation and performance improvements and to support new value-added services. Similarly, the increasing digitalization of vehicle architectures and adoption of software-configurable functions allow OEMs to add new features and capabilities efficiently.

Sonatus, in partnership with the AWS Generative AI Innovation Center, now leverages Amazon Bedrock to hasten and refine the AI-driven vehicle policy creation process for SDVs. The new system uses a chain of LLMs to translate natural language into structured data for Collector AI and Automator AI, simplifying signal selection and automation policy design.

The most promising AI applications in vehicles may soon no longer be flashy dashboards but instead innovations deep inside automotive architecture.

As the automotive industry pushes toward software-defined vehicles, automakers and suppliers are shifting their relationships and working dynamics.

Artificial Intelligence is changing every facet of the auto industry. Vehicle repair is no different, and companies are vying for dealership business.