MyPart

MyPart operates as a B2B SaaS platform, providing AI-powered song search and matching capabilities for the music, film, television, and advertising industries. Founded in 2016 by Matan Kollnescher and Ariel Toli Gadilov, the Tel Aviv-based company aims to streamline the music discovery process. Kollnescher, the CEO, combines his background as a songwriter and data scientist with experience in an intelligence agency, while COO Gadilov brings expertise from his time as a risk manager at Intel.

The company's core technology analyzes the deep, granular details of music, going beyond surface-level trends. It dissects lyrical themes, writing style, narrative, composition, melody, and song structure to understand a song's fundamental essence. This allows clients, which include major record labels, publishers, and music supervisors, to search vast song catalogs with high precision. A key feature is the ability to use reference songs; the AI identifies the common musical and lyrical DNA between several tracks and then surfaces other songs with similar characteristics from a catalog. This solves a major pain point for industry professionals who previously had to manually sift through immense volumes of song submissions.

MyPart generates revenue through its SaaS platform, which offers both user interfaces and APIs that can integrate directly into a client's existing systems, such as social platforms, editing tools, and video games. Its services cater to A&R professionals seeking new material for artists and sync executives looking for the perfect track for a film or commercial. The company has also expanded its focus to include B2C applications, developing products like 'Songhunt' for music fans to create personalized playlists and 'SongSource' for independent artists to pitch their work. MyPart has participated in several prestigious accelerator programs, including Abbey Road RED and Capitol Records' gBeta, and has secured funding from investors such as MIW VENTURES and ATA Ventures.

Keywords: music AI, song search, music discovery, A&R technology, sync licensing, music analysis, SaaS, music tech, song matching, lyrical analysis, composition analysis, music data, content creation tools, song catalog management, music supervision, AI-powered playlisting, music industry technology, song mining, reference track search, multimodal AI, visual to music matching