FiftyOne Physical AI Workbench

Even the most advanced simulations are only as good as their data. The Physical AI Workbench accelerates development by generating accurate and validated sim-ready datasets – so every compute dollar yields usable results.
Quality reconstructions

Build neural reconstructions on a foundation of high-quality data

Validate multisensor data early to eliminate the errors that make 50% of Physical AI simulations unusable.
Good neural reconstruction
Poor quality neural reconstruction
Reliable simulations

Transform sensor data into accurate and realistic simulations

Create structured and validated perception datasets

The smallest sensor misalignments or calibration drifts across camera, LiDAR, radar, IMU, and geolocation systems produce flawed 3D reconstructions and augmentations – wasting weeks of development and compute budgets.

The Physical AI Workbench catches these errors early, automatically enriches data with labels, and prepares audited data for generating high-fidelity digital twins.
Workflow

Streamline your Physical AI pipeline with a standardized data engine

Automatically audit real-world sensor data to create high-fidelity reconstructions and synthetic scene variations.

Audit multimodal input streams

Automatically audit pose calibrations, sensor misalignments, coordinate conventions, and metadata consistency.

Enrich data by adding structure and context

Enhance unstructured datasets with auto-labels, scene understanding, image/video search, metadata, and perform visual inspection of 3D video.
Workflow

Democratize your data

Generate scalable data pipelines for your entire organization: from data audit and enrichment to photorealistic digital twins.
Catch input sensor issues
Audit dashboard
View data distribution
Generate depth maps
Auto-label data
Video search and retrieval
Automatic QA
Automatically flag input data inconsistencies and generate audit-ready reports.
Prevent downstream failures
Identify data reconstruction gaps early to ensure model training is based on reliable data.
Increase simulation ROI
Speed up development and save costs by eliminating fragmented workflows and rework.
Solution brief

Bridge the gap between real-world sensor data and synthetic simulation

Dive deeper to learn how FiftyOne’s data-centric AI platform integrates with NVIDIA Omniverse™ NuRec libraries and NVIDIA Cosmos™ to power the creation of rich, reconstructable scenes that reflect the physical world.

Get started with Physical AI Workbench

“Customers tell us that over 50% of Physical AI simulations are unusable due to poor quality data. Teams are burning millions on compute only to realize that their simulation results are unreliable."

Brian Moore
CEO and Co-founder, Voxel51

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