MyPart News
14 articles
Lennon and McCartney; Taylor Swift and Bon Iver; Billie Eilish and Finneas: An AI Analysis of Dynamic Songwriting Duos (Guest Column)
Tel Aviv-based music-tech company MyPart has developed an AI-powered platform for song search, analysis, and matching. The companys proprietary technology analyzes music, lyrics, and sound to find songs that match creative and commercial needs. It also helps to rediscover long-forgotten music for labels, publishers, music supervisors, and creative industry executives. The company recently used its SongCrunch platform to analyze the contributions of individual writers in popular songwriting duos like Lennon and McCartney, Taylor Swift and Bon Iver, and Billie Eilish and Finneas.
Customers
MyPart & Hit Songs Deconstructed Launch ChartCipher Song Analytics Platform
Song analysis platforms MyPart and Hit Songs Deconstructed have partnered to launch a new platform called ChartCipher. The platform combines MyParts AI-powered analysis of songs compositional, lyrical, and sonic qualities with Hit Songs Deconstructeds song analysis methodologies. It aims to provide deep, real-time insights into the characteristics that drive todays most successful music. ChartCipher will include analytics for 11 of Billboards most popular charts. The platform will deliver its inaugural presentation at Music Biz 2022 in Nashville on May 11.
Partners
Inside MyPart's vision for artificial intelligence and songwriting
Music tech start-up MyPart has developed an AI platform that includes a song search and matching component for the music industry, as well as TV, film, gaming, and advertising. The platform is a set of supertools for both A&R, sync and other creative executives, and independent songwriters and artists. It allows creators to pitch songs and uses AI to create matches, ensuring A&R and other creative execs are not sifting through unsuitable submissions. MyPart has so far raised a $3.2 million seed round and is planning for an A round in the coming months.
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The streaming music industry has experienced significant growth during the COVID-19 pandemic, with a 16.2% increase in streaming consumption. Nielsen reports that streaming song plays during the crisis period from January to June 2020 were 16.2% higher compared to the same period last year. While there was a decline in March, the industry has since recovered and become the main way people consume music. Notably, there has been a noticeable increase in consumption of older music catalog songs. This growth in streaming has had a positive impact on Nielsen.
Customers
Former Echo Nest / Spotify exec invests in startup MyPart
MyPart, an Israeli startup specializing in music analysis, has received investment and advisory support from Tristan Jehan, co-founder and chief scientific officer of The Echo Nest. MyPart has developed a unique machine-learning powered ability to extract deep aesthetic and semantic insights from song lyrics and compositions. This investment and endorsement from a music industry expert positions MyPart for potential growth and a high-profile exit in the future.
Partners
Music Ally Startup Files: MyPart's new spin on AI music analysis
Israeli startup MyPart aims to use AI to turn the long tail of music catalogues into revenue streams that humans may have overlooked. The company has developed an AI system called Songmine that analyzes songs to interpret melody, lyrical sentiment, and song appropriateness. MyParts technology aims to connect the perfect artist to the right song, solving the problem of songs not finding the right home. The company is working with major publishers and plans to offer B2B services for catalogue owners and digital distributors. MyPart has raised $1.5 million in seed funding and is currently raising an additional $2 million. The companys goal is to streamline song discovery and potentially uncover hidden musical gems.
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Abbey Road Red start-ups help unlock the metadata and money behind the music
Abbey Road Red, the music technology start-up incubator, has welcomed two new start-ups, MyPart and Audoo, to its program. MyPart is an AI-powered search and classification platform for song qualities, while Audoo is creating a smart listening device for commercial venues to track music played and ensure artists get paid. Both start-ups align with Abbey Road Reds goal of diversifying the music industry. The article discusses key trends in music technology, the impact of AI on music creation and consumption, and the importance of wellness and voice technology in the industry. The article also touches on copyright issues, adaptive advertising, and the rise of platforms like TikTok in breaking new songs. Abbey Road Red will provide customized incubation for the start-ups to help them reach their goals.
Partners
Musician Social Networking Startup MyPart Joins Abbey Road Incubator
Tel Aviv-based startup MyPart Inc. has been accepted to Abbey Road Red, the music tech incubator of Abbey Road Studios. MyPart enables artists to offer their original songs, lyrics, music, translations, and visual art to musicians of their choice. The company employs 10 people and has raised $1.3 million to date. MyPart is the first Israeli company to participate in Abbey Road Red, which offers mentorship and guidance in various areas of the music and tech industry.
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MyPart finds that next def jam
MyPart, a platform that allows aspiring creators and musicians to submit their work to their favorite artists, has recently finalized a seed round of $1 million. The platform uses AI and machine learning to vet submissions and ensure that good music rises to the top. MyPart aims to solve quality, quantity, and relevance issues in the publishing industry by utilizing technology. The platform has gained 2,030 users and hundreds of uploads since its soft launch. MyParts AI approach is the first of its kind, analyzing thousands of data points to determine the relevance of a song to a famous performing artist. The platform has the potential to help good musicians get discovered in todays saturated media market.
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https://www.headstuff.org/entertainment/music/music-interview-artificial-intelligence-and-music/
This Startup Utilizes Artificial Intelligence to Get Your Song to Lady Gaga
Tel Aviv-based startup MyPart Inc. has developed an artificial intelligence-based service that helps songwriters connect with musicians and producers in the music industry. The companys platform analyzes various data points in songs and prioritizes them based on relevance to the artist or record labels requirements. MyPart also acts as a crowdsourcing medium for video, graphics, and lyrics. The company is supported by music industry executives and has raised $1.3 million in funding. The co-founder of MyPart spoke at a music and technology conference in Tel Aviv.
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https://www.headstuff.org/entertainment/music/music-interview-artificial-intelligence-and-music/
MassChallenge Israel Recognizes MyPart: New, Breakthrough Artificial Intelligence Application Connecting Songwriters with Most Popular Performing Artists
MyPart.com, an Artificial Intelligence platform for songwriters, was recognized by MassChallenge Israel as one of the top 5 international startups with potential impact. The platform uses AI to sort and filter song submissions for relevance to performers musical profiles, increasing the chances of major performers using a songwriters work. The Head of MyPart Music, Ronnie Vance, joined the company to provide a game-changing tool for songwriters. The company recently participated in the MassChallenge Israel program and met with investors and partners during a US Trek. MyPart.com is an AI-based crowd sourcing platform headquartered in New York and Tel Aviv.
Partners
MyPart finds that next def jam
MyPart, a platform that allows aspiring creators and musicians to submit their work to their favorite artists, has recently finalized a seed round of $1 million. The platform uses AI and machine learning to vet submissions and ensure that good music rises to the top. MyPart has gained traction with 2,030 users and hundreds of uploads. The founders believe that their AI approach is the first of its kind, as it sifts through thousands of data points to determine the relevance of a song to a specific performing artist. The platform aims to solve the quality, quantity, and relevance issues in the publishing industry.
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