A neutral verification, certification, and enforcement platform for estates, platforms, and AI labs. Certified consent. Authenticated likeness. Enforceable rights — at AI scale, on a cryptographic horizon that outlives current standards.
Generative AI has collapsed the cost of impersonation to zero. The law is catching up fast. The infrastructure to comply with, enforce, and certify against that law has not been built. We are building it.
Three interoperating products, connected by a single transaction ledger. Analysis is separated from certification — the way financial auditors are separated from ratings agencies, and for the same reason.
ML-grade monitoring of public web, social, streaming, and generative-model output for unauthorized use of registered likenesses. Output matching plus training-data forensic attribution — aligned with the emerging class-action theory that training on identity data is itself actionable.
Tamper-evident, post-quantum-signed consent tokens that platforms and AI labs verify at point-of-use. Issued by an independent certification entity operating to a published spec. Built to survive the multi-decade horizon of postmortem rights — a claim no incumbent can credibly make.
A contingency-priced recovery service that mirrors the unclaimed-property industry: we find unauthorized AI use of a client's likeness, package evidence, route enforcement to the correct state statute, and participate in the recovery. Estates need no budget line — only outcomes.
Elvis. Marilyn. Dr. King. Prince. Bob Marley. Tupac. Robin Williams. Billion-dollar-adjacent identities, managed by trusts and aggregators with no technical infrastructure for the AI era. Four estates have already fought deepfakes in court or in public — and none of them are cushioned by an in-house enforcement arm.
Postmortem terms run 70, 100, or effectively perpetual. Current cryptographic primitives will not survive that horizon. Our certification stack signs consent with post-quantum primitives from day one. It is research-grade — not marketing.
Existing detection vendors match outputs. We combine output detection with training-data forensic signals — directly aligned with the emerging theory that training on identity data is itself actionable. The evidence infrastructure courts will need.
Agencies, aggregators, and collectives are players in this market. The verification layer that all of them need — and that none of them can credibly be — is missing. We are building it, and we are not a player.
Analysis and certification are separated by design. Combining them is exactly what sank the major ratings agencies in 2008. For a business whose product is trust, the separation is the business.
Estates, entertainment IP counsel, and AI-platform trust & safety leads: if the problem here is familiar, we want to talk. Early partners shape the certification spec, receive preferred economics, and are first to production.