UsergyAI

The [Human] Standard.

Four stages. Four filters. Every file earns the UsergyAI name or it does not ship.

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A methodology is only useful if it ships with the data.

Most AI data providers have one. Their website describes it. Their sales deck walks through it. The problem starts when you ask for the paper trail, and there is not one.

The [Human] Standard is built to produce evidence at every stage, not stories.

The four stages

  1. Source refuses anonymous contributors.

    Drawn from a community of 300,000+ real people, filtered down to the verified specialists who match your brief. Identity, language proficiency, and domain skill are confirmed before they see your data. Ships: a named, identity-verified contributor matched to your project, on file.

  2. Capture refuses paperwork added later.

    Every file is born with its metadata attached: contributor ID, consent version, rights flags, timestamp, project scope. The file and its paperwork are one object, not two. Ships: a file with provenance embedded at the moment of creation.

  3. Verify refuses files that have not cleared every layer.

    Three independent checks on every file: automated signal scoring, peer review by domain specialists, centralized QA. Files that fail any layer return to the queue or get rejected. Ships: a dataset where every file has passed three independent quality layers, with a paper trail.

  4. Deliver refuses datasets without a card.

    The final dataset ships with a document that covers modality, volume, contributor profiles, consent versions, licensing scope, and QC metrics. Delivered through your preferred channel. Ships: a dataset your compliance team can sign off on without a second meeting.

Why this matters

  • When a model fails an evaluation, the first question is where the training data came from.
  • When a regulator opens a file, the first question is who consented to what.
  • When a legal review lands on a dataset, the first question is whether the paperwork holds up.

Three different rooms. One answer: it is on file.

The [Human] Standard.

Four stages. Zero shortcuts. One standard, every dataset.

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