The integration embeds AIMS’ proprietary AI search layer directly into DISCO’s ecosystem, which currently manages over 160 million audio files and processes 5 million monthly queries. Users can now bypass traditional metadata constraints to execute searches using natural language sync briefs, lyrical themes, and sonic references. This semantic search capability significantly accelerates the sync licensing workflow by surfacing tracks based on emotional and contextual relevance.
By moving advanced AI discovery into the industry’s default workspace, labels and publishers can finally monetize the long tail of their catalogs. This shift transforms dormant assets into active revenue streams, fundamentally changing how music supervisors source tracks under tight deadlines.
Curated by MusicResearch.com from AIMS API Blog. Read the full article at: AIMS search is now inside DISCO
