AuraOne · Human Data OS
The data only people can give. Signed.
Labs hire experts to author the hard cases, write the rubrics, and grade the model. We turn that work into reviewed datasets — each one carrying who made it, why they were qualified, and the rights that travel with it. So it survives an audit, and the chain of consent survives one too.
Waitlist-first for AI labs, robotics labs, and voice labs. Provider-backed workspace scope and the checked-in demo catalog are reviewed before any public availability claim.
Why now
The largest data vendor was absorbed by one of the labs it served. A competitor lost four terabytes — including who its workers were. And in August 2026 the EU AI Act asks you to trace where your training data came from. Most teams can't: 78% can't validate their data before training, 77% can't trace its origin. That's the gap this closes.
A signed, identity-verified chain of consent on every datapoint — who created it, why they qualified, the rights that attach. Built to survive an employment-classification challenge and an EU AI Act audit.
Contributors are verified, work is reviewed, and nothing is pooled in one place waiting to leak. You keep the bench, the records, and the model.
Reads the brief. Returns a ranked shortlist. Keeps the first interview tied to a structured rubric on the record.
Open →One contract. One record. Every case routed to a specialist who is qualified to make the call.
Open →Labels with rubrics, calibration, and an audit trail — quality that carries into the release decision.
Open →Multilingual speech across accents, rights metadata, and safety review records packaged for licensing review.
Open →Operators, signed environments, and teleop reviewers turn real-world tasks and robot failures into episodes that carry consent, review, and reuse rights — no gig-platform mess.
Open →A hard case. A new accent. A motion no robot has seen. Behind each is a real specialist — engineers, doctors, and lawyers paid expert rates to author the work, speech graded across accents, robotics episodes captured in signed environments. Concrete enough to believe before you commit.
Bring the work. Keep the proof. Own the model. The measure of intelligence is what you can prove.