The Parallel Domain platform delivers rich, annotated synthetic data for all your autonomous system training and testing use cases.
Build machine learning models, test your perception stack, and train your teleoperations team using the three modes of our API on demand, to easily generate and access the diverse data you need.
Specify distributions and Batch Mode will generate datasets for training and testing your machine learning models.
Datasets at scale
Diversify your datasets by creating custom location, lightning and weather variations
The data you need
Balance out your training data by generating corner cases
Access complex annotations that are not available from human labelers
Take control with Step Mode by using your existing simulator or real-world logs to generate step-by-step synthetic sensor data.
Playback your real world logs and visualize with rich sensor simulation data
Render your scenarios
Pass agent state information to render out your simulation scenarios
Diversify your logs
Generate variations of your real world logs to develop robust perception algorithms
Pilot interactive and immersive experiences by using Stream Mode to respond to user input in real-time.
Go beyond the box
Visualize your vehicle and its surrounding environment in a custom generated and controllable virtual world
Test and update your safety system's human machine interface early in your development cycle
Prepare your teleoperations team for complexities of real-world scenarios
What will you do with your Parallel Domain?
Access our APIs today and begin generating your own data.