The robotics data platform for VLA models & perception
Voxel51 is the unified platform for time-series multimodal data. Bring visualization, best-in-class data curation, and annotation together to power your robotics data flywheel and train better models.
Benefits
Why robotics teams choose Voxel51 for perception and VLA data
From demonstration data collection to edge case detection, Voxel51 helps robotics teams build the multimodal datasets that drive better models.
Collect higher-value demonstration data
Real-world robot data is expensive to collect. Voxel51 identifies coverage gaps, curates the most valuable demonstrations, and builds datasets that improve VLA generalization without endlessly scaling teleoperation.
Visualize robot behavior across every sensor stream
Robots generate massive time-series multimodal data across cameras, LiDAR, actions, and telemetry. Play back trajectories to inspect behavior and understand what happened.
Turn failures into better training data
Robot failures are rarely isolated events. Voxel51 makes it easy to search across trajectories and sensor streams to find similar failure cases, understand root causes, and curate targeted data for the next model iteration.
Voxel51 Features
Native support for time-series multimodal data
Robotics teams building perception and VLA models rely on Voxel51 to boost data quality and model performance across the multimodal AI workflows at the core of physical AI. Voxel51 natively reads MCAP recordings and Hugging Face LeRobot datasets, so robot logs and teleoperation demonstrations land in one place.
Query massive datasets by metadata, temporal events, and annotation labels.
Compute and visualize embeddings across sensor data to find visually similar samples beyond keyword label matches.
Tag arbitrary time intervals to curate data for investigation.
Camera streams, LiDAR point clouds, and numeric sensors play back in sync on a single, shared timeline.
Labels exist as tracks over time. Scrub the timeline to see exactly when an object appears or an event occurs across the full scene.
Robotics use cases
Voxel51 powers the full robotics data lifecycle
Curate, annotate, and visualize the data that trains physical AI models.
- Manipulation & grasping
- Humanoid & bimanual control
- Teleoperation data curation
- Cross-embodiment generalization
- Vision-language-action (VLA) models
- Object detection & recognition
- Visual inspection & quality control
- Autonomous navigation
Customers
Teams building with Voxel51
Maintained 99% fall detection rates for model performance.
Sped up investigations of robotic arms by 3x.
Maintained 99% fall detection rates for model performance.
Sped up investigations of robotic arms by 3x.
Robotics Resources
Learn more about physical AI in robotics
Take a deeper dive into how VLA models are reshaping robotics, and how a unified data flywheel helps your team debug behavior, curate better data, and ship physical AI with confidence.
Voxel51 for VLA development: visualize, query, and curate multimodal data
Explore why end-to-end and VLA models make data the key to understanding model behavior, why data curation is the real bottleneck in physical AI, and how Voxel51 unifies visualization, curation, and annotation into a single data flywheel.
Voxel51 adds LeRobot support for robotics data
Load Hugging Face LeRobot v3 datasets, play back camera streams in sync with joint state and actions, and curate episodes for VLA training.
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