From collecting-society supergroups to blockchain startups, plenty of people are working on the historically-tricky challenge of matching data for music recordings to the songs that they feature.
Now you can add one more company to the list: Exactuals, which is best known for its software helping the film and TV industries process their royalty payments.
Now it’s launching a product called R.AI, which it’s describing as “a software development kit and open API allowing music companies to programmatically improve song metadata to meet digital distribution standards” that will use machine learning to “optimise and enhance music metadata for record labels, publishing companies, performance rights organisations (PROs), and digital service providers (DSPs) to ensure works are registered properly for royalty attribution”.
It’s launching at the Music Biz conference in Nashville this week, overseen by head of music product Chris McMurtry, the former CEO of metadata-focused startup Dart. Exactuals is already working with music companies including CD Baby, The Orchard, Mad Decent and Royalty Solutions, so it has a base with which to roll out the new software.
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