Voxel51

Voxel51 provides an end-to-end multimodal data platform that enables search, visualization, curation, annotation, and model evaluation for physical AI workloads. It serves teams building and validating models that rely on video, LiDAR, sensor streams, and robot state data. The platform emphasizes turning raw recordings into high-signal data that improves model performance and reliability, and presents a unified workflow for data discovery, QA, and labeling across modalities.

Voxel51 presents a cohesive environment where data discovery, automated QA, and labeling collaborate with agent-driven automation. It highlights the importance of contextual view, synchronized playback, and cross-modal insights to understand model behavior.

The platform supports data search, curation, annotation, model evaluation, and multimodal agent workflows. It emphasizes embeddings-based search, temporal tagging, and synchronized playback to investigate failures.

It mentions that Voxel51 can run in various environments and that there are options for managed or self-hosted deployments, reflecting planning around governance and scalability

Use cases

• Find edge cases across large multimodal datasets to improve generalization of physical AI models.