Catalog flooding becomes an operating cost
AI-era volume does not only create more music. It creates more review, more edge cases, more metadata ambiguity and more pressure on recommendation, moderation and catalog teams.
Partner brief / DSP-ready BETA
For DSPs, distributors and catalog owners, the painful question is not philosophical. It is operational: how do we route, label, review and trust AI-era catalog at scale without relying on accusation or incomplete metadata?
AI-era volume does not only create more music. It creates more review, more edge cases, more metadata ambiguity and more pressure on recommendation, moderation and catalog teams.
A DSP or distributor can often identify a recording through ISRC metadata, while still having no structured answer to whether the work carries a declared origin status.
Black-box detection creates accusation risk. ACC gives partners a declaration, hash, public certificate, status and API object that can be routed without pretending to be a magic detector.
3-minute partner demo
Open Creator and generate a sample ACC certificate from a test audio file, identity level and declaration.
Check the mark, status, hashes, declaration version and verification boundary.
See the same certificate as JSON for ingestion, routing, audit and partner reporting.
Search a known external ISRC and see metadata found while ACC returns NOT_CERTIFIED.
Open Ledger and model batch certification, ledger events and OTS-ready anchor proof.
ACC should be tested where the pain is already real: catalog intake, metadata quality, AI-era disclosure, public trust UX, rights review and API-readable routing.
Pilot request
The first pilot does not need a huge integration. It needs one real workflow, one owner of the pain and a small dataset that shows whether ACC creates a useful market signal.