AuraOne / Human Data

The data your AI needs to do the work.

Expert judgment, speech, physical demonstrations, approved operating history and validated synthetic coverage—delivered with the checks and use terms that apply.

Experts create or review it, contributors capture it with consent, or source owners license permitted records of real work. Synthetic coverage is labelled and validated, never blended invisibly into recorded evidence.

Human Data programReviewed before delivery
RequestWhat your model needs to learn
  • Expert AI QualityGradedReviewer · cardiologist
  • VoiceAlignedSpeaker · regional accent
  • Physical AITracedOperator · pick and place
Second reviewDisagreements go to an adjudicator
Delivery manifestACCEPTED
  • Review history
  • Qualification record
  • Rights attached
Input
Tell us what your model needs to learn and the source material you can permit.
Output
Accepted data, tasks or evaluations, delivered with the review record and the use terms that apply.

The work

Pick the data your model is missing.

Expert judgment, speech, and physical tasks. Each program brings its own specialists and its own review.

Expert correctionAccepted

Model output

Product.objects.all()

Corrected

Product.objects.select_related('category').prefetch_related('reviews')

Fix is correct and the loading strategy is right for each relation type.

Reviewer note · representative specimen

Representative specimen

Expert AI Quality

Lawyers, clinicians and analysts answer hard questions and grade AI answers. A second expert checks every point.

See Expert AI Quality

Concept illustration — no recorded audio

Voice AI

Speech recorded with consent. The permission stays with each recording.

Explore Voice AI
Action: stylized hand carrying the mug mid-move above the tray

Concept illustration — not recorded footage

Physical AI

People record everyday tasks, with consent, so robots learn how real work is done.

Explore Physical AI

Three separate kinds of work — expert judgment, speech, and physical tasks. An overview, not one dataset.

The quality system

We build around the work.

We don't just find specialists. We build the quality system around their work. The data ships. The history stays useful.

When the next model cycle exposes a new failure, the record tells you what worked before and what to create next.

  1. 01

    Define the work

    Tell us what needs judging and who is qualified to judge it.

    Program brief and rights scope

  2. 02

    Qualify people

    Every expert passes a private test before paid work. The score stays on their record.

    Qualification and consent record

  3. 03

    Create or review

    Experts do the work. They can see the rubric and what they are paid.

    Task, rubric, work product, and timing

  4. 04

    Check quality

    A second reviewer checks the work. Disagreements go to an adjudicator.

    Quality review and adjudication

  5. 05

    Deliver

    Accepted work is delivered with the review record and the agreed use terms for the program.

    Delivery manifest, review history, and acceptance

What you receive

What arrives with the data.

Delivery includes the review history and the agreed use terms for the data.

  1. The data

    The instructions, the rubric, and the accepted work itself.

    Task and work-item history

  2. The review history

    Who did the work, why they qualify, and every check, disagreement, and correction.

    Contributor records and versioned review

  3. The use terms

    The use terms agreed for the program.

    Delivery manifest and governing agreement

Delivery covers the agreed dataset, its permitted use, and the acceptance criteria.

The record

One hard case. One accepted record.

Every accepted answer carries seven fields. Training data and private tests come from the same record.

record · contract-law · item 0142

rights: checked

Task
A hard contract-law question, set by the AI company.
Rubric
The grading guide. Fixed, so every grade means the same thing.
Answer
A qualified lawyer answers and shows the reasoning.
Review
A second lawyer grades every point. Disagreements get a second look.
Reviewer
Who checked it, their own test score and past reviews.
Rights
We confirm we may share it, and use it only as the contract allows.
Next use
It can join the buyer's private test set, kept hidden from the model.
An illustrative record, not a customer item. The fields match the record each accepted answer carries.

Private tests

Training data teaches your model. A private test checks it. Some accepted records are set aside as a sealed test your model never sees. Each new version is scored on the same set.

See private tests

Tell us what your model needs to learn.

We scope the specialists, the review, and the rights with you.

Start a program