Voxel51 Multimodal

What makes it different

Voxel51's pitch is blunt: bad data, not better models, is the biggest obstacle to physical AI. Robots and self-driving stacks generate enormous time-series multimodal recordings — cameras, LiDAR, actions, telemetry — and teams waste training runs on data they cannot search, inspect or trust.

The platform brings the whole data loop into one place: persistent search across images, video, MCAP recordings and LeRobot datasets, synchronized playback on a shared timeline, curation and annotation, and an agentic layer — Voxel51 Agent — that chains search, curation, annotation and evaluation into repeatable workflows. Agentic Labeling uses vision-language models to generate labels from plain-language instructions.

It is the commercial evolution of FiftyOne, the open-source toolkit the Ann Arbor team released in 2020, which has since passed 2 million downloads. The free tier needs no credit card and includes 3 datasets of up to 10,000 samples each, 20GB of hosted storage and 30,000 monthly model inference requests — the same pitch that won the company a $12.5M Series A led by Drive Capital in 2022.