
Parallel Domain is a synthetic data generation platform founded in 2017 with offices in San Francisco Bay Area and Vancouver. It provides a high-fidelity synthetic data engine that generates rich, diverse, and labeled sensor data for machine learning and perception teams developing autonomous systems. The platform supports open and closed-loop simulation with camera, lidar, and radar data, enabling customers to test and analyze perception system performance at scale. Its product PD Replica creates digital twins from real-world capture data, ensuring simulation matches real-world performance. Parallel Domain serves industries including automotive, aerial, robotics, agriculture, warehouse, and security, helping customers improve machine perception with synthetic data to reduce bias, cost, and time while increasing data diversity and quality. The company is recognized for accelerating AI development with synthetic data and is trusted by leading autonomy teams globally.

Parallel Domain is a synthetic data generation platform founded in 2017 with offices in San Francisco Bay Area and Vancouver. It provides a high-fidelity synthetic data engine that generates rich, diverse, and labeled sensor data for machine learning and perception teams developing autonomous systems. The platform supports open and closed-loop simulation with camera, lidar, and radar data, enabling customers to test and analyze perception system performance at scale. Its product PD Replica creates digital twins from real-world capture data, ensuring simulation matches real-world performance. Parallel Domain serves industries including automotive, aerial, robotics, agriculture, warehouse, and security, helping customers improve machine perception with synthetic data to reduce bias, cost, and time while increasing data diversity and quality. The company is recognized for accelerating AI development with synthetic data and is trusted by leading autonomy teams globally.
Founded: 2017
Headquarters: San Francisco Bay Area; Vancouver, British Columbia
Product: API-driven synthetic data and simulation platform (photorealistic sensor simulation; PD Replica digital twin)
Funding: Total disclosed ~43,940,000 USD; Series B $30M (Nov 16, 2022)
Notable investors: March Capital (Series B lead); Costanoa Ventures; Foundry Group; Calibrate Ventures; Ubiquity Ventures; Toyota AI Ventures (seed participant)
| Company |
|---|
Synthetic data and simulation for machine learning/perception and autonomous systems development, testing, and validation.
2017
Software Development
2.65M USD
Toyota AI Ventures participated in the seed round.
11M USD
30M USD
Series B included participation from return investors such as Costanoa Ventures, Foundry Group, Calibrate Ventures, and Ubiquity Ventures.
βSeries B led by March Capital with participation from returning venture investors (Costanoa Ventures, Foundry Group, Calibrate Ventures, Ubiquity Ventures); Toyota AI Ventures participated in the seed round.β