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Voxel51 is a unified platform for managing the data workflows behind physical AI systems. It helps teams turn raw recordings into useful training and evaluation data across images video LiDAR 3D scenes sensor streams maps and annotations. The platform supports natural language search visual similarity search metadata filtering and exploration across samples episodes and behaviors. Users can visualize multimodal episodes with synchronized playback curate datasets identify low quality samples and create better labels through automated quality checks VLM assisted labeling and active learning. Voxel51 Agent adds agentic workflows that can reason across datasets automate repetitive data tasks perform discovery support annotation quality assurance and surface model failure patterns. The platform also includes model evaluation data generation dataset versioning role based access controls custom plugins and integrations. It can be deployed in customer environments and is designed to support billions of samples. Reported outcomes include maintaining 99 percent fall detection performance shortening regression testing cycles by up to 85 percent eliminating manual transformations across more than 20 TB of visual data and accelerating robotic arm investigations by three times. Voxel51 is used across robotics healthcare manufacturing defense agriculture retail and autonomous systems.
