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. 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.

Hazel Savage is the CEO and Co-Founder of Musiio, an Artificial Intelligence company for A&R. Originally from the UK and having spent 5 years working in Australia she now resides in Singapore. With 12 years experience in the music industry, predominantly in tech companies, she boasts, Shazam, Universal, Pandora and BandLab as previous experience.

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.