Autonomous systems increasingly face the challenge of becoming more flexible and independent. UAVs have to find a way from A to B and avoid obstacles in between. In production environments, robots need to correctly place components with frequently changing specifications, while also being able to recognize faulty parts.

Building on our ability to simulate exactly the A.I. training data we need, our software toolkit helps to improve the performance of robotic systems. Our algorithms can be flexibly adapted to changing product requirements. At the same time, quick data availability speeds up the process to bring new .

About one third of automation potential in manufacturing is linked to A.I. However, only a fraction has been implemented due to task complexity, task variation and expected high costs. Many SMEs haven't even realized what their potential is!

Building on a growing library of simulated objects, materials and environments, we are able to provide a wide range of visual inspection and quality control systems. Solutions can be deployed before the start of production and within a short amount of time.