CA$180-220k
Synthetic data for computer vision and perception
Open for applications
Synthetic data for computer vision and perception
21-100 employees
Open for applications
CA$180-220k
21-100 employees
To speed up the transition to autonomy by leveraging synthetic data.
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To speed up the transition to autonomy by leveraging synthetic data.
62% employee growth in 12 months
Autonomous vehicles are fast making the leap from science fiction to reality. However, there are huge safety implications that need to be addressed. Parallel Domain has developed software for training autonomous vehicles in a virtual setting, reducing the risks associated with real-world testing and giving vehicle manufacturers the ability to identify problems and put them right, before the vehicle ever hits the road.
Parallel Domain, which was founded in 2017, leverages synthetic data to train and test the vision and perception systems for AVs. Clients can customise training environments with parameters such as weather, lighting, and distribution of agents, allowing them to model specific situations including rare ones that would be unlikely to occur in real-world training, resulting in AIs that behave better and more safely in novel situations.
Parallel Domain has seen significant investment that will fuel operational expansion, and allow it to increase business reach. With the value of synthetic data quickly becoming apparent, the company is positioned well to benefit from those wishing to train their autonomous vehicle AIs faster and more efficiently.
Steph
Company Specialist at Welcome to the Jungle
Nov 2022
$30m
SERIES B
Dec 2020
$11m
SERIES A
This company has top investors
Kevin McNamara
(CEO)They studied Computer Science at Harvard before working for almost 3 years as a Microsoft Technical Artist. They left their Procedural Content Lead at Apple in July 2017 to found Parallel Domain, where they have served as CEO since.