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 in songs in pre-production made it possible to create a second-by-second track analysis. To have insight read an article on AI in the music industry and how hit potential algorithm helps to discover the next smash.
The readouts using the Hit potential algorithm allow a data-driven creative process to occur. The objective guidance of using this AI-driven tool can guide an experienced songwriter or producer to make small as well as significant changes based on their intuition.
Musiio’s tech explained how artists could use the Hit Potential Algorithm to shape their music decisions. The Potential hit algorithm helps identify commercially viable music, and it performs best to indicate global versus niche, mass-market appeal, or local trends. However, looking specifically at songs with lower Hit Potential scores that still perform on a region’s charts may help quantify and identify such niche trends.
What is Mussio?
Musiio is an Artificial Intelligence (AI) company for the Music Industry. The company’s primary focus is B2B space; the company has built an AI that can “listen” to music. They have supercharged Sync Companies, Streaming Services, Labels, and more to Search, Curate, Tag, or Playlist their audio.
A Singapore-based startup that utilizes AI to help digital music companies with creation and discovery has pulled in a $1 million seed round. The funding was raised from Singapore’s Wavemaker Partners, United States investor Exponential Creativity Ventures, and undisclosed angels.
The deal was founded by the Entrepreneur First program in Singapore and signified the first outside round for Musiio. CEO Hazel Savage met CTO Aron Pettersson during the funding round. It was Musiio, the first venture capital-backed music AI startup in Southeast Asia; it was the most notable EF graduate from its Asian cohorts.
Musiio raised SG$ 75,000 ($57,000) as part of its involvement in EF in April. Musiio believes in providing scalable and fast ways to manage audio using artificial intelligence through custom-built dashboard tools or APIs. The company has made large catalogs of music infinitely searchable. Musiio offers three products:
- Tag;
- Search;
- Playlist.
Musiio Tag
It enables users to make their tags consistent across their database. The platform improves tagging speed due to its auto-tagging functionality. The tags can even be customized or selected from a tag package.
Musiio Search
It is a platform that can be used to search for desirable music for each user. This music streaming software users can easily paste mp3, audio links, and music tracks into the search tool using the app programming interface. At the same time, it will provide the output that may interest the users.
Musiio Playlist
It helps to create customized streaming playlists for every user by searching its client’s complete database. The platform uses data from the users, like search activities and their listening. The technology on the platform also analyses the data like songs skipped, saved, a playlist created, and songs wholly played.
By listening to more tracks than a human can comprehend and identifying patterns and characteristics therein, its AI enables users to predict success more efficiently. The company clearly knows that by solving the music volume issues and providing actionable insights, users can enhance their hit rate and, ultimately, revenue.
Artificial Intelligence Algorithm & Tools Helps Finding New Hit Artists: Explore How
Co-founder and CEO of Musiio Hazel Savage illustrates the importance as well as the potential of AI-based A&R; she explained everything with the origin story of the most significant breakthrough UK artist in recent years, Lewis Capaldi. Her point was not that the self-effacing Scottish superstar was identified through the data, as it wasn’t.
Hazel Savage says, “with millions of creators posting new music to sites globally, the job of listening to all has become impossible. Ryan Walter discovered Lewis Capaldi. Ryan used to spend six months listening to new artists on SoundCloud and founded Lewis. He used to listen to songs for seven hours a day, with 500 tabs open at a time, listening to each track for 10 seconds.
Capaldi’s rise to fame is a wonderful tale, but the trust the work goes into finding artists is never recognized. Lewis’s story teaches us many things; it’s that there is talent, and there they can quickly go unnoticed and not listed too. And to fix the problem, Musiio has created a new piece of technology that is called a Hit Potential Algorithm.
How AI in the Music Industry is Changing Music Discovery?
The AI-based algorithm claims to classify and categorize new music. Besides, it helps to measure hit potential and isolate those tracks most likely to blow up properly, no matter who or where they are from. Savage, talking about the new technology, says, “Our technology processes whole audio files and extracts features from it.” She further added, “We train the AI to look for patterns.”
You can use the process to replicate anything the human ear might be able to recognize, like genre, BPM, and much more, helping to identify how much of a hit something might be. Our new technology is looking for virality, hits, melodic familiarity, and talent, as well as a bunch of other factors that help make great music.
The Hit Potential Algorithm is a new product that has been in R&D for the last few years. The testing was in-house, but like other products, it was 90 to 99% accurate. Hazel Savage says, “We never launch products that do not do what we claim. Our reputation is critical for us, and we hire skilled AI developers, and everything is developed in-house.”
Adding further, she said at the initial testing with the Hit Potential Algorithm, we took ten viral hits from an app like YouTube, hid them into the database of 10 K tracks from the Free Music Archive, and asked the AI to search the top 20 hits. We succeed in finding 9 out of 10 viral hits in the top 20.
The company is primarily focusing on decreasing inefficiencies in music curation using AI by augmenting the valuable work of human curators. In simple terms, it aims to give those without the power of Spotify the possibility to automate or partially automate a heavy lifting when it comes to scouring through music.
“Musiio will not replace the necessity to have people listening to music, but it’s not possible to delete the inefficiencies,” says Savage. Musiio reached a USD 10 million valuation in July after raising a price in a fundraising round with the participation of Francois Arbour, Paul Kempe, and record company Tileyard Group. Presently the company is looking to expand its service to the UK and the rest of Europe.
How Will This Hit Potential Algorithm Work?
Musiio has developed an AI and ML-driven tool to identify the songs with the probability of reaching number one and climbing the charts, but as the company itself states. The music classification algorithm was not designed to replace the experts and their jobs but, on the contrary, to provide concrete support to their work, making it easier and faster.
Participate in an AI-driven (Artificial Intelligence-powered) songwriting competition in the world. The company’s Hit Potential Algorithm will notify you if you have a potential chart-topper on your hands. The AI-powered algorithm uses AI to assess how likely the music is to achieve commercial success.
Knowing the score is a reliable and great way to get a quick idea of where the artist’s music stands in today’s market. The algorithm helps to analyze the music second by second, giving a detailed readout that enables you to apply your musical expertise to recognize what you might want to do differently and what you are doing well.
Once submissions are collected, the algorithm will evaluate most of the entries. It selects three winners to receive the Hit Potential Scores, which are as under:
A Song/Artist Feature on the Company’s Blog
Musiio blog is visited by most people who are part of the music industry, including label owners, A&R executives, and more. The company will feature the artist profile, the submitted song, and the score as well. The article will be shown to the subscribers in the monthly newsletter as well.
Free Second-By-Second Analysis
A comprehensive second-by-second Hit Potential score readout of the song’s performance will be published alongside the music in the blog article as well as sent to you. Accompanying the readout will be a comprehensive analysis by a Music Strategist as well as resident music subject matter expert, Xiao’an.
Musiio Discovery Database
Most entries will be added to a Discovery Database powered by Musiio’s Audio Reference Search technology, where A&R executives, agents, music supervisors, and others who might discover your talents can browse your work.
Ending Note
In the ever-evolving landscape of the music industry, Musiio is at the forefront of leveraging artificial intelligence to transform music creation, discovery, and management. With its groundbreaking Hit Potential Algorithm, Musiio provides invaluable insights that empower artists, producers, and music companies to make data-driven decisions. By offering tools for tagging, searching, and playlisting, Musiio enhances the efficiency and accuracy of music curation, making it easier to identify tracks with commercial potential.
The success stories and impressive accuracy of Musiio’s technology underscore its value in a world where thousands of new songs are released daily. While the Hit Potential Algorithm aids in identifying hits, it also respects the irreplaceable role of human intuition and creativity in music-making. Musiio’s innovations ensure that talented artists, regardless of their background or resources, have a fair shot at being discovered and achieving success.
As Musiio continues to expand its reach and refine its AI capabilities, the company is poised to revolutionize the music industry further, providing scalable solutions that address the inefficiencies of traditional music curation. By blending AI’s power with human curators’ expertise, Musiio is not just predicting hits; it’s shaping the future of music.
Musiio’s Hit Potential Algorithm and suite of AI-driven tools are game-changers for the music industry. They provide a sophisticated, data-driven approach to music curation, ensuring that the best tracks get the recognition they deserve. For artists and industry professionals alike, Musiio represents a leap forward in the quest for musical excellence and commercial success.
If you are inspired by Musiio’s innovative approach and are considering launching your own music-streaming software, we can help you achieve the same level of success. Our expertise in developing AI-driven music solutions can guide you in creating a platform that leverages cutting-edge technology to revolutionize music discovery and curation. Reach out to us at sales@alphansotech.com to explore how we can assist you in bringing your vision to life.
Frequently Asked Questions
1. What is the Hit Potential Algorithm?
The Hit Potential Algorithm is an AI-powered tool developed by Musiio that analyzes music to predict its likelihood of commercial success. It scores songs on a scale from 0 to 100 based on their potential to become hits.
2. How does the Hit Potential Algorithm work?
The algorithm analyzes audio files to extract features and patterns that are indicative of commercial success. It looks for elements such as virality, hits, melodic familiarity, and other factors that contribute to a song’s hit potential.
3. What are the benefits of using the Hit Potential Algorithm?
The algorithm provides data-driven insights that help songwriters and producers make informed decisions about their music. It can guide them to make small or significant changes to improve the song’s commercial appeal. It also helps identify global trends and niche markets.
4. What products does Musiio offer?
Musiio offers three main products:
Tag: A tool for consistent and efficient music tagging.
Search: A platform for searching and discovering music based on user input.
Playlist: A tool for creating customized streaming playlists based on user data and preferences.
5. How does Musiio Tag work?
Musiio Tag provides auto-tagging functionality that speeds up the tagging process and ensures consistency across a music database. Users can customize tags or select from pre-defined tag packages.
6. What does Musiio Search do?
Musiio Search allows users to find desirable music by pasting MP3 files, audio links, or music tracks into the search tool. It uses an API to provide relevant results based on the input.
7. How does Musiio Playlist help users?
Musiio Playlist creates customized streaming playlists by analyzing user data, such as search activities, skipped songs, saved tracks, and playlist creation. It uses this data to curate playlists that match user preferences.
8. Can the Hit Potential Algorithm replace human music curators?
No, the Hit Potential Algorithm is designed to augment the work of human curators, not replace them. It helps reduce inefficiencies by automating parts of the curation process, but human expertise is still essential.
9. How accurate is the Hit Potential Algorithm?
In initial testing, the algorithm demonstrated 90 to 99% accuracy. For example, it successfully identified 9 out of 10 viral hits from a database of 10,000 tracks.
10. What are some potential applications of Musiio’s technology?
Musiio’s technology can be used by Sync Companies, Streaming Services, and Music Labels to search, curate, tag, and playlist audio efficiently. It also helps A&R executives discover new artists and songs with commercial potential.
11. How does Musiio’s technology assist with music discovery?
Musiio’s Audio Reference Search technology powers a Discovery Database, where A&R executives, agents, and music supervisors can browse and discover new music and talents.
12. How can artists benefit from Musiio’s Hit Potential Algorithm?
Artists can receive objective feedback on their music’s potential, helping them understand how to improve their work for better commercial success. Winning entries in AI-driven songwriting competitions can gain exposure through features on Musiio’s blog and comprehensive second-by-second analysis.
13. What is the future outlook for Musiio?
Musiio aims to expand its services to the UK and Europe. With a valuation of USD 10 million and plans for further growth, Musiio is poised to continue innovating in the music industry through AI and machine learning.