High-quality 3D assets as fuel for the next generation of intelligent algorithms.
Developing robust AI models and high-performance computer vision systems requires vast amounts of precise, classified data. However, real-world datasets often reach their limits: they are expensive to collect, raise data privacy concerns (GDPR), or fail to cover rare scenarios ("edge cases").
DOSCH DESIGN offers the solution: synthetic training data based on our extensive library of high-end 3D models.


A crucial criterion for enterprise AI solutions is the legal compliance of the training data. Unlike datasets that have been indiscriminately scraped from the internet, DOSCH DESIGN offers complete transparency and legal certainty.
Legally compliant: Use our data for commercial AI models without fear of copyright infringement.


Our library includes thousands of detailed objects that can be used immediately for training neural networks in virtual environments (e.g., NVIDIA Omniverse, Unity, Unreal Engine).
1. Autonomous Driving & Automotive:
2. Robotics & Logistics:
3. Smart City & Surveillance:
4. Medicine & Research


Using Dosch 3D models to generate synthetic images offers technical advantages that are virtually impossible to achieve with real-world photographs:
Perfect segmentation: Because the data is synthetically generated, the exact location of an object is known down to the pixel (automatic labeling/masking).
Infinite variance: Change lighting conditions, weather, camera positions, or textures of our models to make your AI more robust against disturbances.
Coverage of edge cases: Simulate accident scenarios or rare environmental conditions that are difficult to photograph safely in reality.


Do you require specific datasets or modifications to existing models (e.g., low-poly variants for real-time simulations or special file formats like USD/USDZ)?


Contact us for enterprise licenses. Would you like to use Dosch assets for training your AI? We would be happy to advise you on our special licensing models for machine learning and AI development.
