Parallel Domain Data Lab

The ultimate control hub for crafting your optimal synthetic dataset, supercharged by generative AI.

Unrivaled control and experimentation

Boost perception models with granular control over numerous parameters – sensors, location, weather, agent density, and beyond. Imagine and create unique scenarios for iterative data generation that meets your exact needs.

Unleash innovation with generative AI

From natural language prompts to diverse and fully annotated synthetic data – let generative AI create diverse, detailed scenarios for limitless possibilities.

Scale effortlessly with cloud data generation

Our cloud generation infrastructure allows you to massively parallelize your data generation and simulations, both for dataset generation and closed-loop simulation.

Software-in-the-Loop (SIL) Simulation

The Data Lab API can be controlled by any automated process on the user side, including your simulator or log replay system. Turn Data Lab into your nightly regression testing platform for your perception systems.

Detailed scenario control

Control every agent and every behavior using our API. Either use your simulator to control agent movements or use our built-in simulation tools.

Client libraries to integrate with your simulator

Programmatically construct sensors and agents with our Python / C++ SDKs and bring them to life with our render pipeline.

Cloud hosted render pipeline

Transmit state information to a hosted render pipeline that returns synthetic sensor data.

Get access to Data Lab today!