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Parallel Domain
Parallel Domain provides synthetic sensor data and simulation tools to train, test, and validate perception systems for autonomous vehicles and robots. The platform programmatically generates labeled…
Parallel Domain
Parallel Domain provides synthetic sensor data and simulation tools to train, test, and validate perception systems for autonomous vehicles and robots. The platform programmatically generates labeled…
TL;DR
Founded: 2017
Headquarters / offices: San Francisco Bay Area and Vancouver, BC
Product: Synthetic sensor data and PD Replica digital-twin / simulation platform
Use cases: Training, testing, and validation of perception for vehicles, drones, robots, agriculture, warehouse, security
Latest known funding: Series B $30M (announced 2022-11-16)
Company Overview
Problem Domain
Synthetic data generation and simulation for machine perception (autonomous vehicles, drones, trucks, robots).
Founded
2017
Industry
Software Development
Tech Stack
Funding Track Record
30000000
Series B announced at $30M with participation from return investors
Investor Signal
“Backed by venture and strategic investors including March Capital, Costanoa Ventures, Foundry Group, Calibrate Ventures, Ubiquity Ventures, and Toyota Ventures”
Founders
What we do
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