MyPart Inc.
Ariel Toli G. has a diverse work experience spanning various industries and roles.
In 2007, Ariel worked as a Program Manager at SPNI. From 2009 to 2011, they served as a Manager Project Management at Hillel International, where they managed projects, fundraised, and developed business partnerships.
From 2011 to 2012, Ariel was the Director of the Multicultural program at SPNI, overseeing staff, managing the program's budget, and implementing its vision and mission.
In 2012, Ariel joined Intel Corporation as an International Risk Manager, where they provided risk management and insurance support to senior executives, managed the placement of policies, handled liability claims, and acted as the global insurance expert for contracts risk management. Ariel Toli stayed at Intel until 2018.
From 2013 to 2016, Ariel held multiple roles at The Hebrew University of Jerusalem. Initially, they served as a Faculty Member (TA), assisting in teaching courses on finance. Later, they were promoted to Chief Operating Officer of the Fishman Center, where they managed business development, operations, and finance, leading to a 200% increase in revenue.
In 2016, Ariel became a Co-Founder of MyPart Ltd., an AI-powered song search and matching platform. In 2018, they transitioned into the role of Founder, CFO, and COO.
In 2020, Ariel joined Oleh! Records as a Board Member.
Ariel Toli G. completed a Master of Business Administration (MBA) degree in Banking, Corporate, Finance, and Securities Law from The Hebrew University of Jerusalem from 2013 to 2015. Prior to that, Ariel obtained a Bachelor of Laws (LL.B.) degree from the same university's Law School, which was completed from 2011 to 2016. Ariel also holds a Bachelor of Business Administration (B.A.) degree in Business Management and International Relations from The Hebrew University of Jerusalem, completed from 2008 to 2011.
In addition to the degrees, Ariel Toli G. has obtained various certifications related to Google Cloud, including Cloud Digital Leader from Google, Essential Google Cloud Infrastructure: Foundation from Coursera, Google Cloud Certified Professional Cloud Architect from Google, Google Cloud Digital Leader Training Specialization from Coursera, Google Cloud Fundamentals: Core Infrastructure from Coursera, and Innovating with Data and Google Cloud from Coursera. The specific months and years of obtaining these certifications were not provided.
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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