Sorting music just got easier with the help of Artificial Intelligence.
With over 60,000 new songs hitting your favorite music streaming platforms daily, it could be a chore to do the math and figure out where things should go. Singapore-based A.I. company Musiio has the answer to that. By doing all the dirty work of sorting and tagging music to where they belong, Musiio can help the music companies in the industry save a lot of time and effort.
We caught up with Musiio CEO and Co-Founder Hazel Savage to talk about the Artificial Intelligence company, how it helps other music companies, and their plans to expand.
For those who haven't heard about Musiio, how would you describe the company and its services?
We describe ourselves as an Artificial Intelligence company for the music industry, but we are at the heart of a data processing company, it just so happens the data we process is music.
Tell us the story behind the idea of Musiio and how it came to be.
When I stacked shelves in HMV (a UK record store) 15 years ago in my first job after uni, I used to put the new CDs out every week, and most weeks that was between 2-10 new singles. In 2021 you have 60,000 songs released every day onto streaming platforms globally. More music is released every day that used to come out in a whole year. Once I identified that this new volume of content was a challenge, I started working with my co-founder Aron Pettersson to look at the challenges it creates and how we could use technology to solve them.
When you were building up Musiio, what kind of customers did you have in mind? Are there plans to expand from B2B clients?
I met my co-founder at joinef.com in 2018 and at first we thought the labels would have the most interest in the data associated with new music, but we got the most business immediately from telcos, sync companies, and UGC platforms. Of course we have grown over the last 3 years to work with everybody. We are firmly B2B this year, but you never know in the future!
What are the benefits of teaming up with a company like yours?
Our AI can tag or search vast amounts of music very quickly. We tag about 2,000,000 tracks a day globally, so it means we can generate information about music that companies didn't have before meeting us—the genre, BPM, key, vocal, and recording quality of every track. Musiio can do that. And we don't even need to have seen the track before.
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Tell us about your team up with Hipgnosis and how it started. What's it like working with them?
I was introduced to the team at Hipgnosis via Dick Wingate, our US advisor. He knows the team there well, he knows everyone I would say!
After we got connected via a call (everything has been 100% virtual for 2 years) we showed them a demo of the product (search, in this instance) and they loved it. They could tell the tech worked out-of-the-box and were keen to leverage the power of AI search on their phenomenal catalogue. It's a pleasure to work with them.
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How else do you see Musiio expanding to help the music industry, especially in Asia, in the near future?
We just finished backending the Vans Musicians Wanted competition in SEA and I am so pleased to see countries like China, Indonesia, and Australia really leading the way with A&R applications of AI in music. It's incredibly forward thinking. I hope we get to keep expanding. I'm always excited by the large music markets here in Asia.
What other plans do you have for Musiio?
It's been a busy 2021 and I think 2022 will be no different, I am hoping for a swathe of new customer announcements as well as growing the team. After our latest fundraising round (10M USD valuation) I am keen to focus on growth!
Try Musiio here.