Locations
United States · Palo Alto, CA, USA · San Francisco, CA, USA · Vancouver, BC, Canada
Size
51-200 employees
founded in
2017
Training and testing autonomous systems in the real world is a slow, expensive, and cumbersome process. Parallel Domain is the smartest way to prepare both your machines and human operators for the real world, while minimizing the time and miles spent there. Connect to the Parallel Domain API and tap into the power of synthetic data to accelerate your autonomous system development. Parallel Domain works with perception, machine learning, data operations, and simulation teams at autonomous systems companies, from autonomous vehicles to delivery drones. Our platform generates synthetic labeled data sets, simulation worlds, and controllable sensor feeds so they can develop, train, and test their algorithms safely before putting these systems into the real world.
Something looks off?On-site & Remote
