With algorithmic annotations and automated workflows, dSPACE's UAI engine gives labelers superpowers. Ramp up your annotation throughput and achieve the highest quality for the best price with Zero-Touch Annotation™ technology.

We give you the flexibility to marry the precision of your data with any volume requirements, consistently.
We’ve designed our annotation tooling to cut costs and to accelerate the training and validation of your assisted & autonomous driving technology.

To be compliant with any data protection laws we developed our own anonymization solution that automatically blurs faces and license plates. The solution comes as a service or on-premise to use in your own  workflow.

Highly accurate, complex simulation scenarios and their variations can also be derived from real-world sensor measurements, leveraging the annotation and automation engines to create object lists and trajectories for each traffic participant in the scene. The input data is transformed into replay and logical scenarios, as well as road networks with 3D scenery. We further parameterize logical scenarios to enable a multitude of variations to cover a large part of the required complexity and relevant road situations.