Musiio uses AI to solve content and curation problems for the music industry

Musiio uses AI to solve content and curation problems for the music industry

Singapore-based startup Musiio uses Artificial Intelligence to solve content and curation problems for the . Musiio is aiming to use AI to help those without the spending power of Spotify to automate or partially automate a lot of the heavy lifting when it comes to scouring through music.

The AI uses a combination of deep learning and , the latter of which Musiio said allows it to identify and understand patterns and features of a track. The training is focused on the audio itself, rather than stats and data from third-parties, which some services use to categorize tracks. Pettersson runs the AI. For what it’s worth, he cut his teeth with an algorithm for the Swedish stock market that netted him a 28 percent annual return for eight years.

As an example of Musiio’s AI potential, Savage points to previous roles where she has observed music curators assigned piles of music as high as 1,300 tracks each day. Musiio wants to help take the burden by using AI to pick out the “best” tracks, thus significantly cutting down the list of tracks to listen to. “Our systems can listen to 1,000 tracks inside four hours, after which we can give a smaller selection. For labels, that can help them be more efficient, increase hit rate and spend more time with artists helping to develop them,” Savage said.

“Artists and repertoire (A&R) divisions have billion-dollar budgets, for every artist they spend maybe $2 million on development. We think we give them a better guarantee of success using AI, and [from early conversations with labels] they are very interested,” she added.

Musiio said it is developing solutions for a number of undisclosed clients, but one public name it is talking up is Free Music Archive (FMA), a Creative Commons-like free music site developed by independent U.S. radio station WFMU. The site offers legal audio downloads that are particularly popular with filmmakers, nonprofits, podcasters and remixers.

The site has more than 120,000 tracks, each of which is hand-selected, but with just one part-time developer the curation side is lacking. That’s where Musiio is hoping to help make a difference. The startup has begun working with FMA to develop AI-based playlists in a project that doesn’t generate but is “a lovely example of what the tech can do,” says Savage.

“Not only are we backfilling the Echo Nest partnership [after Spotify closed the service following its acquisition] but the lead track in the inaugural playlist (Kurt Vile, ‘I Wanted Everything’) had received 3,000 plays when we found it, after eight years in the database. Two days later after being playlisted by our AI, it had 6,000 plays. We are pretty excited that AI can have that kind of impact,” she explained.

The Vile track is now closing on 10,000 plays two weeks after the playlist was published. For now, the playlists are created and held within Savage’s FMA account, but Musiio confirmed that it is considering the potential to develop a dashboard that would allow listeners themselves to use the AI to develop playlists. That’s already part of what it is building for other clients.

Funding-wise, Musiio has taken SG$75,000 ($57,000) as part of its involvement in Entrepreneur First. The startup will be part of the EF demo day in July, but Savage said it has already begun to have conversations with investors with a view to raising a seed round of funding.



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