AI assurance is the key to the successful and responsible use of artificial intelligence.
It encompasses all measures aimed at ensuring the safety, reliability, and trustworthiness of AI systems throughout their entire lifecycle.

As a trusted partner for safety-critical applications, we support you with holistic approaches and field-tested methods – from concept and design to testing, validation, and operation.

With safeAI, we have developed a dedicated framework to reliably secure artificial intelligence in particularly safety-relevant domains. This solution combines technical verification procedures, systemic analyses, and organizational measures into a practical and scalable approach. As a result, we help establish the highest safety and quality standards – whether in autonomous driving, defense, or industrial automation systems.

We support companies and organizations along the entire development and operation process of AI systems. With a holistic view, we identify risks at an early stage and create the basis for secure, trustworthy and successful AI applications.

✅ Holistic security and trust concepts
We address all relevant aspects of your AI systems - from architecture and algorithms to organisational processes - and develop solutions that systematically embed security and trustworthiness.

✅ Advanced test and validation environments
Using modern testing methods and simulation environments, we assess the performance and stability of your AI solutions - before they are deployed in production.

✅ Statistically sound security measures
We apply statistical methods to identify and minimize potential risks, effectively protecting your AI systems against threats and disruptions.

✅Technical assurance for trustworthy AI
We provide tool-supported evaluation and analysis of AI models and their underlying data sets across five key dimensions: data quality, performance, robustness, uncertainty, and explainability. Our assessment approach delivers in-depth insights into the behavior and capabilities of AI models. The resulting evaluation report highlights strengths, potential risks and limitations − forming the basis for well-founded safety measures, regulatory compliance and trustworthy AI applications.

With our longstanding expertise in safeguarding highly complex systems, we work together with our partners to shape a trustworthy, AI-driven future.