MyPart · raw details

Song Search and Matching Platform · Tel Aviv-Yafo · Founded 2016

active Mature ← back to profile

Highlights

IIA supported (ever)Profile claimed by owner

About

Song Search and Matching Platform

MyPart is an AI-powered song search and matching platform. MyPart's award-winning technology uses reference songs rather than conventional tagging techniques to help industry professionals prioritize their musical catalogs and discover new talent. This helps them find songs that share common harmonic, melodic, lyrical, sonic, and structural features with their predefined benchmarks, and ensures they only listen to the songs that match their needs. MyPart's artificial intelligence analyzes songs submitted by emerging songwriters from all over the world in order to place them with professional opportunities. MyPart creates matches purely based on song relevance, rather than personal connections or industry access. MyPart graduated from Universal Music's Abbey Road RED program in London, Capitol Records' gBeta program in Los Angeles, and Deloitte's LaunchPad Growth program. The company also won the MassChallenge 2018 gold award and Music Week 2021 Tech Summit.

Identity

NameMyPart
Slugmypart
Type / kindstartup
Crunchbase IDmypart
Source _idagxzfmlsbGlzdHNpdGVyGAsSC05ld19Db21wYW55GICAwNbDlpUKDA

Status

Statusactive
Last update2026-05-17

Location

HQ country codeIL
HQ region/districtCenter District
HQ cityTel Aviv-Yafo
HQ addressIsserles St 6, Tel Aviv-Yafo, Israel

Web & social

Websitehttps://www.mypart.ai
LinkedInhttps://www.linkedin.com/company/12903457
Twitter / Xhttps://twitter.com/MyPArt
Facebookhttps://www.facebook.com/MyPart
YouTubehttps://www.youtube.com/channel/UCqw6-4W5Y9YcWEPIWC5sJ4w
Instagramhttps://www.instagram.com/mypartofficial

Classifications

Primary sector Retail Platforms
Sub-sectors
Retail PlatformsGoodsMedia & Entertainment TechnologiesDigital Content Distribution
Technologies
Platforms & InterfacesSoftwareWebMobileSearch EngineArtificial IntelligenceDeep LearningNatural Language ProcessingMachine LearningVoice & Speech Recognition
Target customers
ConsumersRecreational & LifestyleMusiciansMedia & EntertainmentMusic
Business models
B2BB2C
Tags
marketplacesaasartificial-intelligencemusic-industrypublishersmachine-learningmusiciansengagementcrowdsourcingcollaborationcontent-sharingcontent-discoverymusicartentertainmentnatural-language-processingenterprise-solutionssignal-processing

Funding

Total raised$3.1M
Current stageMature

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