is a Singapore-headquartered music technology company that specializes in AI-driven solutions for the music industry, which includes metadata tagging at scale, audio reference search, and a playlisting product. In addition to these, it also has a Hit Potential Algorithm, which scores music based on its likelihood of commercial success — this is currently being used primarily in custom projects with select clients.
The initial idea was developed by Hazel Savage and Aron Pettersson during Entrepreneur First, an incubator located in Singapore. Aron was interested in solving the most difficult problem he could find, and Hazel — having many years of experience in the music industry for companies like Shazam and Pandora — wanted to make music categorization digital. If before there were 10-20 singles put out and people could categorize them manually, it became an impossible task as the number of songs released rose to tens of thousands. "They set out to create a solution where we would be able to use AI to provide music metadata tagging services on a large scale," begins Xiao'an Li
, Musiio's music strategist. At the moment, the algorithm is able to go through five million songs per day and provide information like genre, mood and tempo, to name a few.
Because Hazel has been in the music industry for a long time, the first clients came from her ability to penetrate that market, as Xiao'an says. In the beginning, they mostly targeted sync libraries and record labels, but the music strategist now notices a slow shift toward commercial music. He also mentioned that Musiio has worked with folks in the advertising and gaming industries. While the initial code was created on Aron's laptop, the company now serves its customers using Google's Kubernetes. Since the early days, the team grew from six people to 30 in the office.