SoundCloud wants to make it easier to find must-listen tunes buried deep in its catalog. TechCrunch notes the company has bought Musiio, an AI music curation company. The firm's technology uses AI to "listen" to songs, tag them and slot them into playlists. Ideally, this improves the chances of discovering tracks you like, whether they're from an established artist or a new bedroom DJ. The companies didn't disclose the terms of the deal, but said Musiio would "become core" to SoundCloud's discovery system.

Musiio, an artificial intelligence brand for the music industry, has a revolutionary Hit Potential Algorithm that analyzes music at scale and awards scores between 0 to 100. The algorithm score depends on the likelihood of commercial success. Utilizing this technology to songs in pre-production made it possible to create a second-by-second track analysis. To know more, read further and know AI curator for the music industry and how Hit potential algorithm helps to discover the next smash. The readouts done using the Hit potential algorithm allow a data-driven creative process to take place.

One lunchtime about three years ago, Hazel Savage and Aron Pettersson set a new piece of software running on a laptop then went to a nearby mall for a sandwich. They hoped, on their return, to have the answer to a question that would change the music industry: can a computer pick a hit record? The pair had just founded their firm, Musiio, in Singapore's Boat Quay district. Pettersson, who is Swedish, was a specialist in artificial intelligence (AI) with a background in neuroscience; Savage, a British music industry professional with tech pedigree, had worked for Shazam and the Pandora streaming service. These are written by little-known artists and commonly used for soundtracks and podcasts.

Audio Network Limited, one of the world's largest independent creators and publishers of original high-quality music for use in film, television, advertising and digital media, continues its focus on technology by partnering with Musiio to explore the power of AI to improve customer service and delivery. This industry first will equip the global music company with an added interface to their existing search platform, to make their catalogue of over 170,000 tracks even more discoverable, whilst keeping the human touch that Audio Network has always been known for. Read More: Clearsense Chooses Io-Tahoe's Smart Data Discovery to Navigate Healthcare Data Challenges Singapore-based Musiio provides a new way of "listening" to music at scale, easily searching up to one million tracks in under two seconds and supercharging a team of music researchers to increase their efficiency in responding to music briefs. "AI has been on the fringes of the music industry for the last few years, with talk of labels signing algorithms. But recently, more commercial and practical uses of this powerful computing technology have begun to surface," explained Musiio CEO and co-founder Hazel Savage.

There's been plenty of discussion and debate on MBW's pages regarding the impact that Artificial Intelligence might have on the music business in the future. Obviously, there's its potentially seismic effect on the way musicians make music – whether that's AI producing non-human music from scratch, or providing tools that artists and songwriters can use to compose and perform in the studio. But there's also AI's application to more practical B2B tools to consider. Just last week, for example, we heard from Canada-based LANDR, which has launched an AI tool that helpfully sifts through its huge catalog of samples for those looking for a specific sound. Today, (September 4), a new twist on AI arrives via a fresh partnership between production music library Audio Network and Singapore-based machine learning company, Musiio.

Audio Network Limited, one of the world's largest independent creators and publishers of original high-quality music for use in film, television, advertising and digital media, continues its focus on technology by partnering with Musiio to explore the power of AI to improve customer service and delivery. This industry first will equip the global music company with an added interface to their existing search platform, to make their catalogue of over 170,000 tracks even more discoverable, whilst keeping the human touch that Audio Network has always been known for. Singapore-based Musiio provides a new way of "listening" to music at scale, easily searching up to one million tracks in under two seconds and supercharging a team of music researchers to increase their efficiency in responding to music briefs. "AI has been on the fringes of the music industry for the last few years, with talk of labels signing algorithms. But recently, more commercial and practical uses of this powerful computing technology have begun to surface," explained Musiio CEO and co-founder Hazel Savage.

Musiio, a Singapore-based startup that uses AI to help digital music companies with discovery and creation, has pulled in a $1 million seed round. The capital comes from Singapore's Wavemaker Partners, U.S. investor Exponential Creativity Ventures and undisclosed angels. The deal represents the first outside round for Musiio, which was founded at the Entrepreneur First program in Singapore where CEO Hazel Savage, a former streaming exec, met CEO Aron Pettersson. It also makes Musiio the first venture capital-backed music AI startup in Southeast Asia and one of the most notable EF graduates from its Asian cohorts. We first wrote about Musiio last April when it had raised SG$75,000 ($57,000) as part of its involvement in EF, the London-based accelerator that has big ambitions in Asia.

A former streaming industry exec and an AI specialist walk into a bar… they leave starting an AI company for the music industry. That's not exactly how Singapore-based startup Musiio was formed, but it's close enough -- and the outcome is the same. Co-founders Hazel Savage, formerly of Pandora and Shazam, and Swedish data scientist Aron Pettersson connected at Entrepreneur First in Singapore. The program began in London as a way to help like-minded tech connect with the potential to start projects, so it does mirror the serendipity of meeting new friends in a bar. "We'd probably never have met each other if we hadn't gone to EF," Savage told TechCrunch in an interview.