Marelli teamed up with Amazon Web Services (AWS) to create a next-generation, AI-powered STG Agent that automates one of the most time-consuming steps in vehicle validation generating system test cases directly from engineering requirements.
As vehicles become increasingly software-defined, teams are drowning in requirements, specs, and data while needing rock-solid consistency and traceability. This tool, built with help from the AWS Generative AI Innovation Center using Amazon Nova models, Amazon Bedrock Knowledge Bases, and the Strands Agents framework, finally brings some relief.
The System Test Generation (STG) Agent slashes validation time and ensures product features actually match customer requirements. For automakers racing to deliver reliable software-defined vehicles faster, this could be a game-changer especially since it integrates smoothly with existing requirement management tools.
Here’s how it works in Marelli’s workflow:
R&D engineers first translate customer requirements into system specs (still a human task).
Then the STG Agent steps in as it analyzes each requirement, spots the implied behaviors, and spits out clear, structured, fully traceable test cases. Engineers can then validate that every feature works exactly as intended.
Leadership Comments
“The STG Agent represents an important step forward in how we validate solutions for software-defined vehicles,” said Daniele Russo, Head of System Performance Optimization in Marelli’s Electronics Engineering team. “By combining our engineering expertise with advanced AI capabilities from AWS, we significantly accelerate validation cycles and ensure consistent quality across global programs. This solution enables us to support our customers faster and more efficiently, strengthening the foundation for the next generation of software-defined vehicles.”
“Marelli’s approach to automating system validation demonstrates the transformative potential of generative AI in automotive engineering. By leveraging Amazon Nova foundation models and Amazon Bedrock, companies are setting new standards for how software-defined vehicles are developed and validated. This solution shows how advanced AI can accelerate innovation while maintaining the rigorous quality and safety requirements that define the automotive industry” said Giulia Gasparini, Country Leader of AWS Italia.
