Parallel Domain is a synthetic data generation platform that accelerates the development of machine perception systems by providing high-fidelity synthetic camera, lidar, and radar data. Founded in 2017 and based in the San Francisco Bay Area and Vancouver, the company offers an API that allows machine learning and computer vision teams to generate diverse and high-performing labeled sensor data at a fraction of the time and cost of traditional data gathering. Their platform is designed to enhance AI reliability while reducing risk and development time, making it a unique solution in the synthetic data market.

Other Engineering

United States

Palo Alto, CA, USA

San Francisco, CA, USA

Vancouver, BC, Canada

Parallel Domain

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