Parallel Domain

Parallel Domain builds photoreal virtual environments and large-scale synthetic datasets to train and validate computer vision and autonomous systems. Their platform generates configurable scenes and multimodal sensor outputs (camera, LiDAR, radar) with automated, ground-truth annotations and domain randomization to create rare or hazardous scenarios at scale. Customers use Parallel Domain to reduce manual labeling, accelerate model training and validation, and close the simulation-to-reality gap for autonomous vehicles, robotics, and mapping. The solution integrates with ML workflows to support production and research dataset generation.