MyPart Inc.
Mathilda Granbacka has a diverse work experience spanning multiple roles and industries. Mathilda most recently worked as the VP of Marketing at MyPart Inc., where they were responsible for digital marketing campaigns on various platforms such as Facebook, Instagram, TikTok, and Google Ads. Mathilda also managed social media channels and conducted graphic design work. Prior to that, they served as the CMO & Co-Founder at KOOATI, where they focused on business development, partnerships, market research, and artist management. In addition, Mathilda has experience as a Project Manager at Patriksson Group, where they managed events and collaborated with national and international brands. Mathilda also worked as an Executive Producer and Marketing Manager at SPLIT STOCKHOLM, overseeing music video and commercial productions, planning marketing activities, and implementing integrated marketing strategies. Earlier in their career, they held roles at Soundtrack Your Brand, MKTG Finland, Big Time Oy, ROOF Productions Oy, Noblevents Oy, and UBIQUITOUS INC/WWE NETWORK, where they gained experience in sales, marketing, event promotion, and international marketing assistance.
Mathilda Granbacka earned a Bachelor of Business Administration (BBA) degree in Marketing from Arcada University of Applied Sciences, where they studied from 2008 to 2012. In 2011, they also attended Kwantlen Polytechnic University for a short period, where they pursued a Bachelor of Business Administration (B.B.A.) degree with a focus on Business, Management, Marketing, and Related Support Services. Later, from 2013 to 2016, Mathilda attended Åbo Akademi University, where they completed their education with a Master of Business Administration degree, specializing in International Marketing.
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