Parallel Domain

Parallel Domain (operating at paralleldomain.com) is a synthetic data platform engineered for training and testing perception systems. Founded in 2017 by Kevin McNamara and headquartered in San Francisco, California, Parallel Domain bridges the gap between simulation and the real world, ensuring autonomous systems perform flawlessly when it counts most. Under the hood, the platform generates photorealistic synthetic data and simulation to train and validate perception systems for autonomous vehicles, robotics, and AI. This allows developers to super-train AI models at scale, ensuring public safety while accelerating autonomy development. Backed by $44.3M in funding from investors like March Capital, Costanoa, and Foundry.