Discover More of the Music You Love
With so much music available to fans today, it becomes increasingly challenging to deliver meaningful playlists and recommendations to keep them engaged. Deep descriptive data and algorithms from Gracenote help music services deliver stickier playlists, surfacing a wider range of artists and styles, to help fans find more of the music they love.
Gracenote has descriptive artist level data covering Genre, Origin, Era, Artist Type, as well as audio analysis of sonic Mood, Tempo and Style for millions of tracks. Trusted by the world’s top music services, Gracenote Descriptors fuel their algorithms for music search, discovery and Internet radio.
Rhythm Curation Web application combines the best of humans with machine, giving music editors and musicologists the power to craft radio stations and playlists using algorithms and intelligent search tools.
Gracenote Sonic Style Revolutionizes Discovery
Intuitive music discovery and accurate recommendations are notoriously tricky to implement in a music streaming service, which is where Gracenote can help with its new Rhythm API.
A New Standard for Music Discovery
Gracenote provides its music customers the perfect blend of data, algorithms and curation tools to stand out from competitors.
The first global platform for Internet Radio and music discovery supporting North America, Asia, Europe and Latin America.
Editorially produced data describing the Genre, Era, Origin, Artist Type, Tempo, Mood and Style of millions of tracks from around the globe.
Machine + Human
A powerful combination of human editors and machine learning technology to create descriptive metadata for the largest catalogs.
A technology platform that scales from hundreds of users to hundreds of millions, supporting the world’s biggest brands.