Voxel51
Multimodal data platform for searching, visualizing, curating, annotating and evaluating data behind physical AI and computer vision models.
At a Glance
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Engagement
Available On
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Listed Oct 2026
About Voxel51
Voxel51 builds a multimodal data platform, based on the open-source FiftyOne tool, for teams working on physical AI and computer vision. It lets users search, visualize, curate and label data such as images, video, 3D, lidar and radar, and its site says Voxel51 3.0 is free to try at app.voxel51.com.
What It Is
Voxel51 is a data-centric workflow platform that sits between data collection and model training and evaluation. It turns raw recordings into curated datasets by indexing data for natural language, visual similarity and metadata search. Supported modalities listed include images, video, 3D mesh, lidar, radar, IMU, audio, geolocation and text.
How the Data Loop Works
- Search: query samples, episodes and behaviors with natural language, similarity or metadata.
- Visualize: play back images, 3D scenes, sensor streams, maps and annotations in synchronized views.
- Curate: slice and filter datasets, using embeddings to weed out low-quality samples.
- Label: create and manage labels with automated QA, VLM-assisted labeling and active learning.
- Evaluate: surface underperforming classes and failure patterns.
Voxel51 Agent
The Voxel51 Agent takes natural language requests for data discovery, automated annotation QA, repetitive data work and model evaluation. It can be extended with custom plugins.
Deployment and Governance
The enterprise edition is described as deployable in cloud, hybrid, on-premise, air-gapped and managed setups. It includes dataset versioning, role-based access controls and extensibility via plugins. The site lists integrations with AWS, Anthropic, Google Cloud, OpenAI, Weights and Biases, Milvus, Hugging Face, NVIDIA and MongoDB. Voxel51 says it was founded in 2018 at the University of Michigan.
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Pricing
Free
Get started for free, no credit card required.
- 3 datasets per tenant
- 10,000 samples/dataset
- 20GB of hosted storage
- 30,000 model inference requests/month
- 30 hours of compute/month
Team
Managed and self-hosted deployment options.
- 8 user seats, 16 guest seats
- 2,800 hours of compute/month
- 1 production deployment
- 1 dev deployment
- Unlimited data (hosted or self-hosted)
- Unlimited model inference
- SSO
- Standard enterprise support
Custom
Dedicated support and deployment options built around your organization's needs.
- 25 user seats, 100 guest seats
- 4,000 hours of compute/month
- 3 production deployments
- 3 dev deployments
- Everything in Team
- On-premise or air-gapped deployments
- Premium enterprise support
- Dedicated customer success engineer
Capabilities
Key Features
- Natural language, visual similarity and metadata search
- Synchronized multimodal visualization
- Embedding-based data curation
- Automated annotation QA and VLM-assisted labeling
- Active learning
- Model evaluation and failure analysis
- Voxel51 Agent for natural language data workflows
- Custom plugins
- Dataset versioning
- Role-based access controls
- Flexible deployment (cloud, hybrid, on-premise, air-gapped, managed)
