Parallel Domain envisions a future where every life on the planet is improved by the transition to safer and more equitable AI. To enable that future, we are on a mission to accelerate the development of machine perception with synthetic data.

The Parallel Domain Story

We are a growing company based in the San Francisco Bay Area and Vancouver, British Columbia. Founded in 2017, we have quickly assembled a world-class team that is changing the way the industry develops machine learning models. Our platform is a synthetic data generation engine that provides our customers with rich, diverse, and high-performing labeled sensor data at a fraction of the time and cost of traditional real-world data gathering and labeling. We are here so you can focus on preparing your technology for the rigors of the real world.

Meet the Leadership


Kevin brings deep computer graphics experience having built and led a team within Apple’s Special Projects Group focused on autonomous systems simulation. Previously, he architected and implemented procedural content systems for Microsoft Game Studios and contributed to academy award winning films at Pixar Animation Studios.


With over 20 years of experience in the video game and tech industries at companies such as Apple, Electronic Arts and United Front Games, James brings an extensive knowledge of real-time graphics and engineering management to the world of autonomous vehicle simulation. He has led teams building world-class, AAA games such as Need for Speed, Sleeping Dogs and ModNation: Racers along with many others.


The Team

Seeing further, faster, together.

The world is diverse and complex. The teams and data teaching AI to navigate our world should be too.

Our multidisciplinary team hailing from around the world are specialists in autonomous systems, graphics, simulation and software development. Our extensive experience positions us at the forefront of the synthetic data movement to reduce bias, time, cost and data volume while increasing diversity, quality, and performance for our customers at the turn of a dial.

Join Us

Our data is training and testing autonomous systems at companies around the world. We’re looking for talented visionaries help us to expand our impact on the way artificial intelligence is developed.