Artificial Intelligence in Automotive

Our AI-powered solutions make know-how automatically accessible across the organisation – by seamlessly integrating AI into existing workflows. The foundation is formed by high-performance language models (LLMs), individually selectable and flexibly deployable. On this basis, we develop both tailor-made applications and out-of-the-box solutions. Whether it’s an organisation-wide chatbot, co-pilots for software developers, or intelligent agents for automotive development – we bring AI directly into everyday work. Our agents support developers and engineers in the analysis of test results, project management, model-based systems engineering, and test case creation.

And most importantly: our solutions ensure maximum data security and comply with the automotive industry’s safety standards.

Our AI-powered solutions make specialised domain knowledge automatically accessible – seamlessly integrated into your individual workflows. With self-learning pipelines, we enable efficient knowledge transfer that eases the workload for your developers and engineers. Using high-performance language models (LLMs), we deliver powerful AI solutions. And most importantly: our solutions ensure maximum data security and fully comply with automotive industry safety standards.

Our TestSphere AI solution is revolutionising virtual validation through automated test case generation. The result: precise, rapid, and resource-efficient development processes. With Automated Requirements Analysis, we automatically identify relevant requirements, optimising the entire testing and validation process. The outcome: higher quality with reduced effort.

The TestSphere Editor is the heart and soul of the TestSphere ecosystem. It connects via Bridges to your application lifecycle management and system architecture tools as well as to your test systems. By aggregating information in one unified editor, we optimize the test design process as switching between different tools is no longer required.  

This greatly streamlines the test design process by relieving test designers of the time-consuming and error-prone task of looking up information. 

The idea of TestSphere was born while we worked on enabling Keyword Driven Testing in the validation process of vehicle software.

Keyword Driven Testing or KDT is based on the ISO 29119-5 and defines how to write test cases keyword-based. According to the standard, keywords can be clustered into two types: Simple keywords and composite keywords. A simple keyword represents a functional mapping to a specific execution step in a test case. In contrast, composite keywords incorporate several simple keywords to create a library of standard instruction sets.

With KDT in TestSphere, we provide an easily human-readable abstraction layer for test cases which significantly reduces the complexity and therefore improves the quality of test cases.