How AI Is Changing The Way We Find Music

Remember the last time you found a song that you immediately clicked with? I do. I remember hearing songs like Thriller by Micheal Jackson and immediately falling in love with them. I bet you have too, and I bet you didn’t find it through an Apple Music or Spotify “Discovery” playlist. Mainstream services rely heavily on collaborative filtering. This essentially means that it will try to recommend you music based on the taste of other people, that is if you have some overlapped music taste. It’s effective to push the top 50 radio hits to as many people as possible, but its not designed for a true music buff.

At MusicMax, we’re trying something new. We use our state-of-the-art artificial intelligence models to analyze the sonic fingerprints of the music you love to help you find new music with similar production styles, harmonies, and rhythms. The best part? You’re not just finding new hits, you also find historical classics, forgotten with time.

I truly believe music discovery should be something invigorating. You shouldn’t be spending more time listening to music you don’t really like or find “passable”. Music should bring joy to everyone’s life, and MusicMax helps with that by trying to find more of what makes you go. It helps you explore, and find music from corners of the world you never thought you could appreciate. But with us you can. And that’s what we’re building.

-Ishaan Sangha, CEO of MusicMax

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