MyPart Inc.
Matan Kollnescher has a diverse work experience spanning several companies and roles.
Starting in 2002, they worked as a Big Data Developer for IDF until 2003. From 2004 to 2009, they took on multiple roles at IDF including Project Lead, Senior Developer, and Big Data Team Leader and Project Manager. In these roles, they managed teams, designed and implemented system architectures, developed data mining algorithms, and worked on integration projects with various external partners. Matan also had responsibilities in system administration, site planning, and release management.
In 2012, Matan joined Fluent Trade Technologies as a Business Development Specialist and R&D Manager. Matan served in this role until 2016, focusing on business development and managing research and development projects.
In 2016, Matan transitioned to LifeBEAM Technologies LTD. and Tigapo, where they worked as a Senior Software Architect in both companies. This role involved designing software architectures and overseeing software development projects.
In 2017, Matan joined CWT as a Full Stack Engineer, working on software development projects until 2018.
Finally, in 2018, Matan became the CEO and Chief Architect at MyPart Ltd., where they are currently responsible for leading the company and its architectural vision.
Overall, Matan's work experience showcases their expertise in software architecture, development, project management, and team leadership across different industries and companies.
Matan Kollnescher completed their Master of Business Administration - MBA degree in Strategy and Managerial Entrepreneurship from The Hebrew University of Jerusalem, graduating in 2017. Prior to that, they obtained a Bachelor of Science degree in Computer Engineering from the same university, completing their studies in 2013. In 2009, they attended the Rimon School of Jazz and Contemporary Music, where they pursued songwriting.
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MyPart Inc.
MyPart is an AI-powered song search and matching platform for anyone in pursuit of songs, including the music industry, TV/Film and advertising.For Music and Creative Executives:MyPart’s award-winning technology uses reference songs- rather than conventional “tagging” techniques- to help A&Rs, Sync, and Music Supervisors “dig” throughand prioritize their musical catalogs and/or discover new talent. This helps these industry decision-makers find songs that share common harmonic, melodic, lyrical, sonic and structural features with their predefined benchmarks, and ensures they only listen to the “right” songs that actually match their needs. For Songwriters:MyPart’s AI analyzes songs submitted by emerging songwriters from all over the world, in order to place them with opportunities in the Music, TV/Film and Advertising Industries. We believe your songs deserve a shot, and create matches purely based on song relevance, rather than personal connections or industry access.MyPart graduated from Universal Music's exclusive Abbey Road RED program in London and Capitol Records' gBeta program in LA, as well as Deloitte's LaunchPad Growth program, and won the MassChallenge 2018 gold award and Music Week 2021 Tech Summit.Its proprietary 'Song Mining' engine conducts comprehensive and granular analysis of lyrical, musical and sonic relevance based on a wide technology stack that combines machine learning, computational linguistics, and digital signal processing to determine the likely relevance of any song to any set of reference songs. Our unique approach combines two key qualities:The ability to search for songs with a set of reference songs We created a song fingerprinting technique that abstracts song DNA to enable searching for songs with reference songs, based on common harmonic, melodic, lyrical, sonic and structural featuresA distinct focus on the semantics and aesthetics of song lyrics. At the heart of our distinct approach is a special focus on the deep comprehension of song lyrics