MyPart

A game changing AI platform &s;leapfrogging&s; song search within the Music, TV/Film and Advertising Industries

Business Model:

Revenue: $0

Employees: 1-10

Detailed MyPart Information

Geographic Data

MyPart headquarters map

Address:

City: Tel Aviv

State: Tel Aviv

Zip:

Country: Israel

Financial Info

Stage:

seed

Raised Last:

$650k

Raised Total:

$3M

Metrics

3,026,334Website Global Rank

5,748Website Monthly Traffic

Twitter Followers

Description

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&a;Rs, Sync, and Music Supervisors “dig” through and 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;s exclusive Abbey Road RED program in London and Capitol Records&s; gBeta program in LA, as well as Deloitte&s;s LaunchPad Growth program, and won the MassChallenge 2018 gold award and Music Week 2021 Tech Summit. Its proprietary &s;Song Mining&s; 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 features A 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

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Contact Email:

Announced Date Company Transaction Money Raised
Announced Date Transaction Number of Investors Money Raised Lead Investors
10/2019 Grant 1 $192.6k MassChallenge
MassChallenge
5/2018 Seed Round 1 $950k TheTime
TheTime
10/2020 Seed Round $0 Abbey Road Red
Firstime Venture Capital
Tristan Jehan
Udi Mokady
Abbey Road Red
Firstime Venture Capital
Tristan Jehan
Udi Mokady
2/2017 Pre Seed Round $25k
6/2019 Seed Round 1 $800k Firstime Venture Capital
Firstime Venture Capital
10/2020 Seed Round 4 $650k Abbey Road Red
Firstime Venture Capital
Tristan Jehan
Udi Mokady
Abbey Road Red
Firstime Venture Capital
Tristan Jehan
Udi Mokady
Announced Date Name Price

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