01
Author
Engineers, doctors, lawyers, and scientists write the real task — not generalist crowd labor.
EXPERT WORK
WHY AURAONE
The data only people can give. Proven, and yours to keep.
Other vendors sell you people, or a finished batch. We sign the data those experts produce — who made it, who reviewed it, and under what rights — so it survives an audit and the model trained on it stays yours.
SIGNED
Chain of consent
Who made it, who reviewed it, under what rights — attached to every datapoint.
OWNERSHIP
Weights you keep
Reviewed work becomes a tuned model. The weights are yours.
INDEPENDENT
On your own infrastructure
Your contributors, your data, never pooled with everyone else's.
ON THE RECORD
“Release review went from a three-week scramble to a repeatable gate. When an edge case slips, we catch it, we save it, and it never ships again.”
HOW IT WORKS
Bring the work. Keep the proof. Own the model.
Experts author the task. A second expert reviews it. We sign it — who made it, who reviewed it, under what rights. Failures get remembered. You keep the dataset and the model.
02
Review
A second expert checks the hard cases and signs off on the result.
REVIEWED
03
Sign
Who made it, who reviewed it, under what rights — attached to the datapoint.
CONSENT ATTACHED
04
Remember
When a case fails, we catch it and keep it. It never ships again.
REGRESSION SAVED
05
Keep
You get a rights-cleared dataset and a tuned model. The weights are yours.
WEIGHTS YOURS
The EU AI Act enforces training-data provenance in August 2026. Today 78% of orgs can't validate their data before training, and 77% can't trace where it came from. Signed data answers both.
COMPARE
Compare us with the vendor you use today.
Rivals supply people or a finished batch. We sign the data those experts produce — who made it, who reviewed it, under what rights. Here is the head-to-head with each one.
AURAONE VS SCALE AI
When you'd switch
The largest data vendor sold half of itself to one of the labs it served, and you need a neutral second source.
We are founder-led and independent — a source you can defend under audit, across coding, legal, finance, medical, and robotics.
See the comparison →AURAONE VS MERCOR
When you'd switch
A breach took four terabytes from a competitor — including who its workers were — because data was pooled in one place.
Identity-verified contributors, data signed and never pooled, running on your own infrastructure.
See the comparison →AURAONE VS SURGE AI
When you'd switch
The evaluation works, but you can't trace where the data came from or how the people who made it were paid.
Every datapoint carries a signed chain of consent and worker-condition transparency you can show an auditor.
See the comparison →AURAONE VS HANDSHAKE AI
When you'd switch
You found the people, but the real risk is NDA, trade-secret, and PII exposure when experts bring real work.
An IP-safe clean-room workflow with durable rights — not just campus discovery.
See the comparison →