The fact that ‘AI music’ can mean several, very different things is well illustrated by the latest pair of startups exploring strains of artificial intelligence tech applied to music.
Musiio’s focus is on using AI to analyse large catalogues of music. “The tools we provide allow you as a business to process more data than is humanly viable, and gives you the competitive advantage by substantially increasing the accuracy and quality of your A&R,” explains its pitch.
“By ‘listening’ to more tracks than a human could ever comprehend and identifying characteristics and patterns therein, our AI allows you to better predict success.”
This isn’t just about labels and A&R: Musiio hopes its tech could be used by streaming services to provide better playlists and recommendations.
The second startup, Mubert, is focusing on AI to create music. “Algorithm composes infinite music that never stops,” runs its pitch. “Seamless music helps to focus and concentrate. People work, study, do sports and relax with Mubert.”
It’s exactly the area – activity-focused ‘mood’ playlists – which sparked a row last year about ‘fake artists’ on Spotify. And at the time, we pointed out that this might be one of the first areas where AI-created music could genuinely sit side-by-side with human-made tracks.
Mubert already has an iOS app out in the wild for people to test.