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Voxel51

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(24)4.5/5

Voxel51 is an end-to-end multimodal data platform for physical AI. It brings ML engineers, data teams, and annotators into a unified environment to explore unstructured data, curate datasets, manage and review annotations, evaluate models, and investigate failure modes across images, video, 3D, and time-series data. Built on open-source FiftyOne with 5M+ downloads, Voxel51 adds the collaboration, scale, and security capabilities that teams with AI in production need. Organizations ranging from startups to global enterprises use Voxel51, including Porsche, Ford, Sony, Hyundai, Bonsai Robotics, and Berkshire Grey. Researchers at Google, Microsoft, and NVIDIA also use Voxel51 to build state-of-the-art physical AI datasets. Voxel51 gives teams deep visibility into their data before, during, and after model training: • Search & visualize: Play back synchronized sensor streams and use hybrid search across modalities. • Curate: Get best-in-class embeddings to identify data quality issues, outliers, and coverage gaps. • Annotate: Manage annotation workflows and speed up labeling with automated QA and VLM-assisted labeling. • Evaluate: Analyze model performance and trace failure modes back to the underlying data Voxel51 Agent makes this process more seamless by automating the repetitive data work between decisions, giving engineers more room to focus on what the model needs next. Bring your own agent with Voxel51 MCP and connect to over 100 providers or your own self-hosted model. The platform integrates with existing labeling tools, MLOps systems, and data infrastructure, helping teams spend less time building custom tooling and more time improving their models. Customers report up to a 30% increase in model accuracy, more than five months of development time saved, and 50× faster data curation.

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