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 through realistic scene reconstruction and sensor simulation software.



We are a growing company based in San Francisco, USA; Karlsruhe, Germany; and Vancouver, Canada. Founded in 2017, we have assembled a world-class team that is changing how the industry develops, tests, and validates machine learning models. Our platform is a scene reconstruction and simulation engine that enables our customers to test and train their models at a fraction of the time and cost of traditional real-world testing. We are here to ensure physical AI systems are safe and reliable.





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.









