Twinnin -

For AI labs and research teams

Welcome to the consent-ready data vault.

Unconsented web scraping is a liability you can’t afford. The Likeness Vault is the enterprise-grade data layer of our registry — giving developers access to a deep database of human likenesses with explicit consent for AI training.

Our belief

Less scraping. More testing.

It’s about time AI labs and research teams had a better source of human data. Scraped datasets separate human likeness from the person behind it. Let’s face it: with AI evolving, that can’t go on. Twinnin keeps those elements linked. A verified human makes a clear choice. Approved data has a defined scope. Consent changes are recorded and shared. All unconditionally.

The perks

The benefits?
A vault-full.

  • Identity
    Every contributor is connected to a verified identity and liveness check.
  • Provenance
    Each delivered sample remains connected to its subject, consent record, licence scope and status.
  • Structured modalities
    Build cohorts around the available image, video, audio, motion or 3D inputs your project requires.
  • Purpose-specific consent
    Training consent is captured separately from commercial appearance licensing and scoped to the agreed use.
  • Revocation workflow
    Agreed notifications and handling obligations define what happens when a participant changes their consent status.
  • Compensation
    Commercial terms provide a route to compensate the people whose data contributes to the model.

Our engagement models

Models that mirror your research type.

Evaluation sample

A limited, non-production dataset for feasibility, benchmarking or proof-of-concept work.

Production cohort

A cohort assembled against an agreed demographic, modality and usage specification for production training.

Strategic partnership

A multi-year programme combining bespoke cohort development, governance and delivery requirements.

How it works

The Likeness Vault process

  • 01 Scope out
    Agree the model purpose, modalities, participant profile, and intended downstream use.
  • 02 Structure consent
    Define the permission, retention, derivative, and revocation terms participants will review.
  • 03 Build and verify
    Confirm cohort availability, recruit where required, and validate the records attached to each participant.
  • 04 Deliver and maintain
    Provide the agreed format and maintain the consent-status record for the contracted term.

FAQs

Consented training data. Ultimate human likeness provenance.

Secure your pipeline, guarantee human provenance, and train next-generation models on Verified Humans data. Let’s talk.

Start a partnership (LINK)