Artificial Intelligence for Mobility

Develop and validate Automotive Software faster with AI

Whether it’s autonomous driving or advanced driver assistance systems – modern vehicles demand complex software and the highest safety standards. With ASAP GenAI, we’re taking AI in the automotive industry to the next level: more efficient development processes, more precise validation, and intelligent quality assurance.

Automotive expertise meets cutting-edge Generative AI. We take a holistic approach – from consulting and implementation to ongoing operation.

The result: scalable, efficient, and secure solutions for future-oriented mobility.

Our highlights at a glance

Our GenAI platform supports software developers in the fields of ADAS and automated driving
Advanced validation methods for SiL, HiL, and in-vehicle data
Reduced workload for staff through support with knowledge transfer, test case generation, test execution, monitoring, and analysis
Data security ensured in accordance with automotive industry standards
Deployed across more than 500,000 virtual test kilometres within our validation solution, TestSphere

AI Solutions: Smart Automation

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.

AI-based Trace Analysis

Smart data analysis for the automotive development of tomorrow: Our AI-powered solutions accurately and reliably detect anomalies in trace data from HiL systems and vehicles. This allows us to identify critical deviations at an early stage and take timely corrective action. Through intelligent monitoring, we analyse field and quality data – uncovering genuine optimisation potential within the validation process. The result: tailored measures and targeted improvements based on solid data.

Computer Vision for Quality Processes

Our AI-powered computer vision technology takes component evaluation and quality analysis to the next level – automated, precise, and up to 20 times faster than manual methods. With our intelligent analysis techniques for image and sensor data, development and validation processes can be automated, optimised, and scaled efficiently.

Validation AI

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.