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Voxel51 3.0 Builds Data Infrastructure for Next Wave of Physical AI


 Voxel51 3.0 Builds Data Infrastructure for Next Wave of Physical AI
  • by: PR Newswire
  • |
  • October 16, 2026

Voxel51, the data platform behind AI systems at some of the world's leading companies, today announced Voxel51 3.0, a major expansion of its platform for building and managing physical AI datasets. Voxel51 3.0 unifies search, curation, annotation and evaluation into an end-to-end multimodal data platform.

Quick Intel

  • Voxel51 3.0 builds data infrastructure for next wave of Physical AI unifying search, curation, annotation and evaluation into end-to-end platform.
  • Next wave of AI moving from internet into physical world with robotics entering phase resembling early days of autonomous vehicles needing infrastructure for complex real-world data.
  • New capabilities include Voxel51 Agent working across data loop, Voxel51 Search persistent hybrid index, Annotation workflows across 2D 3D video multimodal, multimodal time-series support and data provenance.
  • Model-agnostic architecture supports foundation models and domain-specific models across embeddings inference auto-labeling evaluation with free self-service access.
  • Built for physical AI data flywheel helping teams move from raw multimodal recordings to searchable curated training data and support active learning.
  • Nebius and Voxel51 partner to connect physical AI data and compute stack hosting hands-on workshops running Voxel51 workflows on Nebius AI Cloud.

End-to-End Multimodal Data Platform for Physical AI Data Flywheel

The next wave of AI is moving from the internet into the physical world. In particular, robotics is entering a phase that resembles early days of autonomous vehicles: rapid investment, increasingly sophisticated foundation models, and urgent need for infrastructure built around complex real-world data.

Voxel51 CEO Brian Moore adds, "We saw this play out with our customers building autonomous systems and perception models. The teams that got their data infrastructure right from the start were able to move faster. Physical AI and robotics is at that same inflection point. The companies building that foundation today are going to have a real advantage as their data and models scale."

Voxel51 3.0 brings core data workflows for physical AI into single extensible platform built for teams moving from prototype to production with Voxel51 Agent drawing on more than 45 MCP tools, 80+ built-in operations.

"Physical AI teams don't need another chat interface sitting on top of their data," said Voxel51 Product Manager Adonai Vera. "They need an agent that can maintain context across the model development lifecycle and orchestrate actions across the full data flywheel."

"Physical AI is the next major frontier for AI because it brings digital intelligence into the world of atoms," said Evan Helda, Head of Physical AI at Nebius. "But getting there will take more than better models. Robotics teams need the compute, cloud platform, and data infrastructure to turn every deployment, failure and edge case into a faster next iteration. That's the kind of foundation we're building with partners like Voxel51."

 

About Voxel51

Voxel51 is an end-to-end data platform for physical AI, helping teams turn complex multimodal datasets into better AI models. The platform unifies search, visualization, curation, annotation, and evaluation, with AI-powered workflows that automate data-intensive tasks, while giving developers control over their models and infrastructure. Voxel51 is trusted by teams at Berkshire Grey, Ford, Porsche, and Precision Planting to develop AI systems that operate in the physical world.

  • Physical AIData InfrastructureAI Data
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