Parallel Domain is a synthetic data generation platform for computer vision and autonomy. It provides a smart way to prepare both machines and human operators for the real world while minimizing the time and miles spent. Users can connect to the Parallel Domain API and tap into the power of synthetic data to accelerate their autonomous system development. Parallel Domain generates synthetic labeled data sets, simulation worlds, and controllable sensor feeds so users can develop, train, and test their algorithms safely before putting these systems into the real world.

Marketing & Communications

Software Engineering

Data Science

United States

Palo Alto, CA, USA

San Francisco, CA, USA

Vancouver, BC, Canada

Parallel Domain

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