Volkswagen’s reference architecture for the physical AI data flywheel. Learn more ->

How Volkswagen is building the physical AI data flywheel. Learn more ->

Stop wasting training runs on bad data.

Search, visualize, curate, and label the multimodal data behind your physical AI models. Voxel51 turns raw recordings into the data your models actually need.

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Voxel51 Platform

There’s useful training data in there somewhere.

Raw recordings are dense, messy, and much longer than the moments you care about. Voxel51 brings the end-to-end multimodal data workflow into one place.

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Search your dataset.

Model behavior emerges across datasets, not individual recordings. Voxel51 indexes your data for fast natural language, visual similarity, and metadata search across samples, episodes, and behaviors.

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Natural language search with FiftyOne Agent to identify episodes where the robot is picking up clothes.

Visualize everything in context.

Explore multimodal episodes in context with synchronized playback across images, 3D scenes, sensor streams, maps, and annotations.

Explore features

Multimodal data visualization in FiftyOne allows you to synchronize images, 3D, map, logs, plot, and message tiles on a timeline.

Curate the data worth training on.

Instantly slice, search, and filter massive multimodal datasets to weed out low-quality samples and surface the right insights.

Explore features

UI screenshot of an "Embeddings" panel showing 48 colorful clustered data points with a lasso selection, and a labels menu listing "occluded_grasp," "handoff," "cluttered_bin," and "object_slip."

Label less. Label better.

Create and manage high-quality labels across images, video, 3D, and multimodal data with automated QA, VLM-assisted labeling, and active learning.

Explore features

UI screenshot of an "Agentic Labeling" workflow with a text prompt reading "Label frayed cables using the attached positive samples," four cable images with bounding-box annotations, a pipeline sidebar (Load dataset, Data selection, Agentic Labeling, HITL review, Annotate), and a "Run Agent" button.

Agentic Workflows

Hand off the data work.

Voxel51 Agent can reason across your dataset, take action across the data loop, and automate repetitive data work.

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Search your dataset with natural language.

Benefits & ROI

Trusted by teams shipping physical AI in production.

increase in model accuracy

months of development time saved

faster data curation

Aerial view of a shipping port stacked with containers and cranes, illustrating physical AI for logistics and supply chain.

An older woman smiles while walking arm-in-arm with a younger woman in a bright home, representing healthcare applications.

Maintained 99% fall detection rates for model performance.

A tractor works a vast green crop field under overcast skies, illustrating physical AI for precision agriculture.

Shortened AI regression test cycles by up to 85%.

Two technicians in cleanroom suits work beside a robotic arm in a high-tech manufacturing facility, illustrating physical AI.

Foundation for Florence-2 VLM development

A driver relaxes with coffee, hands off the wheel, in a car using autonomous driving, illustrating physical AI for vehicles.

Eliminated repetitive manual transformations on 20 TB+ of visual data

A clinician in a white coat reviews a knee X-ray on a monitor, illustrating visual AI for medical imaging in healthcare.

A Berkshire Grey robotic arm with a suction gripper picks from a bin, showing physical AI for warehouse automation.

Sped up investigations of robotic arms by 3x.

A technician in safety goggles inspects a circuit board, illustrating visual AI for electronics and medical device manufacturing.

A man checks his phone beside a sleek AFEELA electric vehicle on a city street, illustrating physical AI for smart vehicles.

Official partner for visualizing Open Images Dataset V7

A Porsche 911 convertible parked above the ocean at sunset, illustrating physical AI for automotive applications.

Maintained 99% fall detection rates for model performance.

Shortened AI regression test cycles by up to 85%.

Foundation for Florence-2 VLM development

Eliminated repetitive manual transformations on 20 TB+ of visual data

Sped up investigations of robotic arms by 3x.

Official partner for visualizing Open Images Dataset V7

Unified Platform

Carry context across the data loop.

Every tool switch risks breaking the feedback loop. A unified platform keeps data iteration continuous so models improve faster.

Explore workflows

Diagram of an ML pipeline (Collect data, Build dataset, Train, Evaluate, Deploy), with Voxel51 covering Build dataset, Train, and Evaluate portion. It is expanded to show Voxel51 providing four capabilities: Search, Curate, Annotate, and Evaluate.

COMPLIANCE & GOVERNANCE

Developer friendly. Procurement approved.

Run Voxel51 in your environment, use the models and infrastructure you already trust, and keep the permissions, auditability, and controls procurement will ask about.

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Deploy anywhere