Parallel Domain

Simulation platform for testing, evaluating, analyzing, and training AI models at scale.

General Information
Industries
Big Data, VR/AR +2
Funding Stage
Series B
Product Stage
-
Business Model
-
Company Overview
Founded
2017
Employees
49
Location
San Francisco, United States
Parallel Domain - Company Details

Parallel Domain is a company revolutionizing the training and testing of autonomous systems with synthetic data for computer vision and perception. Founded in 2017 and is headquartered in the United States, the company's mission is to streamline and accelerate the development of autonomous systems, such as autonomous vehicles and delivery drones.

Their platform leverages synthetic labeled datasets, simulation worlds, and controllable sensor feeds to enable companies to develop, train, and test their algorithms safely and efficiently. This approach minimizes the time and resources spent on real-world testing while ensuring that machines and human operators are well-prepared for real-world scenarios.

The most recent milestone for Parallel Domain includes a noteworthy $30.00M Series B investment on 16 November 2022. This round of funding saw the participation of prominent investors such as March Capital, Costanoa Ventures, Foundry Group, Calibrate Ventures, and Ubiquity Ventures.

Parallel Domain's focus on synthetic data is highly relevant in the fields of autonomy, AI, computer vision, AV, ADAS, and machine learning. Their innovative approach holds the potential to make a significant impact on the development of autonomous systems, positioning the company as a key player in the Big Data industry.

With its cutting-edge technology and robust investor backing, Parallel Domain stands out as a disruptive force in the advancement of autonomous systems, poised for substantial growth and influence in the coming years.