neurocat provides innovative testing solutions to ensure safety compliance and comprehensive data coverage of AI systems in the automotive and mobility sector.

neurocat was born in 2017 out of a desire to take ML robustness testing for safety-critical application to a new level. With a background in mathematics, our founders were not blinded by AI hype. It was not magic, it was statistics ... but optimization was required.
The young neurocat consulted on such optimization, bootstrapping its growth and writing the first ever AI quality standard. This got attention, and led to our first customer, German automobile manufacturer Volkswagen, from which came our first patents and publications.
With our vision validated, and a growing team of coders turning standards and math into a tool, neurocat was now a start-up with more than just an idea, and this attracted investors. dSPACE entered the neurocat story in 2021 as a new strategic partner and investor.
Today, with a team of over 40 persons neurocat is implementing its strategic vision: to scale enabling safe AI with a software that captures our expertise. This software is aidkit, built to improve the robustness of the computer vision systems at the heart of autonomous vehicles.
Our goal is a world where “safe AI” is not a term, because all AI is safe
AI is energy intensive; data is personally sensitive. We enable scaling, lean data, and less retraining
We participate in setting them, then seek to share them and finally enable meeting them
We contribute to public knowledge, because even in an autonomous world, we are in it together
Performance cannot be sacrificed, because performance enables safety in every situation
On the road to trustworthy AI, we enable companies and products you can trust
Driving safe perception
Don’t just manage risks. Mitigate your perception system’s chances
of encountering unknown situations and enhance its resilience.