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Synthetic data just got real
Testing AI in the real-world is hard, risky, and expensive
Parallel Domain offers an API for machine learning, computer vision, and perception teams to generate high-fidelity synthetic camera, lidar, and radar data.
This data is used to train and test perception models by simulating scenarios in procedurally generated worlds or replicas of any location on Earth.
Synthetic Data, Real Impact TM
The highest-quality synthetic data to analyze, train, evaluate, and monitor perception models—boosting AI reliability while reducing risk, development time, and costs.
Rich scenario diversity
Industry leading content fidelity
Highly accurate custom annotations
Accurate sensor simulation
Thanks to its high degree of realism, flexibility and scalability, the Parallel Domain platform enables rapid exploration of cutting-edge machine learning ideas. Its cost effectiveness enables accelerated paths to deployments at scale. This combination makes the platform really unique and a huge advantage for us to develop the future of robot autonomy.
Senior Machine Learning Manager, Toyota Research Institute
Adrien Gaidon
We support perception use cases across industries
