Connecting labels, publishers, supervisors, media, and catalog investors in unprecedented ways.
For label, publishers, and rights-holders
Maximize your entire catalog's value. Search by track, or literally anything, to match in milliseconds.
For film, game, and ad studios
24/7 music supervision assistant searches across major labels and indie artists to find license-ready options.
For newsrooms, media, and blogs
In-depth, poetic reviews of hidden gems and classic tracks. Built for media publications and editors.
Search public music, playlists, track intelligence, and your private SyncSearch catalog directly from the Slack workspace where your team already collaborates.
🌎 @MusicAtlas songs like Hey Jude 🌍 @MusicAtlas find upbeat West African playlists 🔒 @MusicAtlas search our catalog for cinematic indie female vocals 🔒 @MusicAtlas find catalog tracks like One More Time by Daft Punk 🔒 @MusicAtlas show catalog stats
MusicAtlas is the first discovery engine powered by a multi-model machine learning pipeline — with endless possibilities for search, sync, and sonic storytelling.
→ "Give me music that sounds like Kid A by Radiohead."
→ "I like early 70s folk singers, are there any new artists who sound similar?"
→ "Search only my catalog for cleared tracks for a movie trailer."
We're now onboarding strategic partners interested in harnessing the power of open music search infrastructure, machine learning, and LLMs to improve the overall ecosystem of music for industry pros, real musicians, and listeners globally. If that sounds exciting, we'd love to talk.
Get in Touch
