product-launch · October 15, 2026
By Joe Jurczyk, Editor
Twinnin launches a likeness consent registry, with Model Management as first accredited partner
Twinnin, a consent, licensing and provenance registry for human likeness, launched two products: Defend Twinn, for registering objections to AI use of a likeness and tracking takedowns, and Human Verified, an accreditation mark for businesses that license likenesses with consent.
Twinnin, a consent, licensing and provenance registry for human likeness, announced two products on 15 October. Defend Twinn lets an individual verify their identity, register a timestamped objection to AI use of their likeness, and initiate and track takedown requests. Human Verified accredits businesses that use human likenesses with consent and lets them display a Human Verified mark on their website.
Model Management is named as the first Human Verified partner. Twinnin says an exclusive agreement gives it access to that agency's network of more than three million models, and Model Management's CEO Andreas von Estorff says the agency already ID-verifies every model. Twinnin was co-founded by Kat Grobler and William Haakon Berg, with Dr Mary Maller as chief technology officer. No pricing was disclosed.
Why it matters for digital humans: The consent and provenance layer is the part of the avatar stack nobody has standardised. Generation is close to commodity; documentation proving a face was licensed is not, and that is what enterprise procurement and EU AI Act Article 50 transparency duties increasingly turn on. A registry only has force if platforms, agencies and courts honour its records, and nothing in this announcement establishes that. The three-million-model reach and the verification claims are the companies' own, from a promotional release with no adoption data. Worth tracking as a template for how a consent layer might be structured, not as infrastructure that exists yet.
Related research
- Deepfakes and Beyond: Mapping the Ethics and Risks of Digital Duplicates
- Imperfectly Perfect: Human-Likeness, AI Disclosure, and Consumer Engagement with Virtual Influencers
- Real Versus AI-Generated Instructors and Human Versus Synthetic Voices in Educational Videos: Impacts on Perceived Human-Likeness, Motivation, and Knowledge Retention