Robotics is the application your data runs on. Start from a proven open model, review every episode, score for safety, and ship with the weights kept yours — local, in the cloud, or inside your own tenant.
Need the data first? Human Data OS captures it — real operators recording real tasks on Aura Capture, reviewed and signed. This is the other half: the software that turns those runs into a model you own.
Operator feedback, review decisions, and downstream training results improve the data program around your robot work.
AuraOne can help stand up the first safety loop. Your robotics team still owns what becomes training data.
Review locally, scale to the cloud, deploy inside your tenant, or hand the second pass to managed reviewers. The dataset stays yours.
Free local-first review IDE for teleop and VLA datasets.
Hosted multi-reviewer queues, dataset storage, dashboards, and approval chains.
Self-hosted or VPC deployment with SSO, audit-grade evidence, and signed export attestations.
Managed reviewer pool and dataset request intake for failure annotation, intervention tagging, and training-mix curation.
Anyone can pay people to record videos. AuraOne helps robotics teams collect the right data — the task, the context, the quality check, the reviewer decision, and the delivery package.
Human reviewers check the task, context, quality, and release decision before delivery.
Rejected clips can become failure examples that help teams avoid repeating bad behavior.
Risky sessions can be held for a safety lead before they enter the training set.
RLDS, OpenX, HDF5, BVH, and JSON through the public export surface.
Fine-tuning and weights delivery stay gated on provider setup and pilot scope.
Raw files, task data, review decisions, signed manifests, and checksums ship together.
Delivered datasets include raw files, metadata, review decisions, accepted clip lists, manifests, checksums, and supported training packages. No reconstruction needed.
From autonomous vehicle labs to warehouse automation teams, the same evaluation surface scales across company types and fleet sizes.
Teams collecting human movement, household tasks, workplace motion, and failure examples for physical AI programs.
Research groups that need reviewed raw video, movement data, teleop sessions, and export packages before training changes.
Teams building vision-language-action policies from real people doing real tasks — not lab reconstructions.
Groups that need structured teleoperation sessions and reviewer decisions for downstream training.
A short read on the landscape. Anonymized by category, not company — because the point is the work, not the logo.
Fast raw clips. AuraOne adds the task design, quality check, and delivery package robotics teams need before training.
Massive worker supply, no robotics knowledge. AuraOne is built specifically for robot training data and reviewer-graded sessions.
Useful starting points. AuraOne helps you build your own proprietary dataset on top of the public baseline.
Spreadsheets, folders, and Slack threads do not scale a robotics data program. The work needs one record, one reviewer queue, one delivery format.
Your data stays yours. We do not resell customer clips. The accepted clip list, manifests, and weights you tune all belong to your program.
Workers consent before each session and see the task they are being asked to capture. The brief is part of the record.
Rejected clips are not wasted. They can become failure examples for your robotics team — not public datasets.
Exports are packaged for robotics teams with raw files, task data, review decisions, signed manifests, and checksums attached.
Teleop sessions are available when the customer program, provider setup, and physical environment support them. The capture plan stays scoped to the pilot.
Homes, kitchens, warehouses, factories, tools, and failure cases your robotics team needs.
In your VPC. Your keys. Your retention policy. Your data stays yours.
Reviewed robotics data, task context, accepted clip lists, manifests, and supported export packages.