Data Generation for Autonomy

Parallel Domain’s virtual world generation technology enables the large- scale training and testing of driverless cars before they hit public roads. The platform can generate multiple realistic, highly detailed city blocks in less than a minute, unlocking the necessary simulated training and testing environments for autonomous vehicles. Real-world map data can be used to automatically reconstruct a photorealistic, living world complete with traffic, pedestrians, time of day, and more. Any element is adjustable and programmable, from the number of lanes to the condition of the asphalt.

Key Leadership

Kevin McNamara

Founder & CEO

James Grieve


Costanoa Investment



Modern Saas