MyPart

# MyPart: AI-Powered Music Discovery and Licensing

High-Level Overview

MyPart is an AI-driven music technology company that helps music executives, supervisors, and creative professionals find songs matching specific creative and commercial needs.[1] Founded in 2016 and based in Tel Aviv, Israel, the company uses machine learning to analyze song lyrics and compositions, delivering tailored music recommendations for professionals in music, TV/film, gaming, and advertising industries.[1] Rather than serving only casual music listeners, MyPart has positioned itself as a B2B solution for industry professionals who need to efficiently discover and license music at scale—a significant pain point in creative production workflows.

The company has raised $1.3M in funding and operates at the angel stage.[1] Its proprietary AI technology has earned recognition from major industry players; MyPart was selected by Billboard to provide music, lyrics, and sonic analytics for its top charts.[1] With a lean team of 16 employees, the company operates efficiently within the competitive music technology space.[3]

Core Differentiators

• Proprietary AI analysis: MyPart's technology analyzes song lyrics and compositions to match creative and commercial requirements, moving beyond simple metadata tagging to semantic understanding of musical content.[1]

• Industry-specific focus: Unlike general music discovery platforms, MyPart targets music supervisors, production companies, broadcasters, and advertising agencies—professionals who need precision matching rather than casual browsing.[1]

• Billboard partnership: Selection as Billboard's analytics provider demonstrates credibility and integration into established music industry infrastructure.[1]

• Multi-industry applicability: The platform serves music, TV/film, gaming, and advertising sectors, providing cross-industry utility that broadens its addressable market.[1]

Role in the Broader Tech Landscape

MyPart operates within the growing intersection of AI and creative industries, where machine learning is automating traditionally manual, time-consuming tasks. Music supervision and licensing have historically relied on human expertise and extensive catalogs—processes that are expensive and slow. MyPart's AI-driven approach addresses this inefficiency by automating song discovery and matching, aligning with broader trends of AI augmenting creative workflows rather than replacing human judgment.

The company competes in a specialized niche alongside similar AI music platforms like FeedForward (founded 2017, London) and Aims API (founded 2018, Prague), indicating a maturing market segment.[1] However, MyPart's early founding date (2016) and Billboard partnership suggest it has established meaningful traction ahead of later entrants.

Quick Take & Future Outlook

MyPart's challenge lies in scaling beyond its current angel-stage funding while competing against better-capitalized competitors in music technology. The company's success will depend on deepening integrations with major music platforms, production studios, and licensing agencies—relationships that create switching costs and recurring revenue. As AI capabilities mature and creative industries increasingly adopt automation tools, MyPart's semantic music analysis could become a critical infrastructure layer for content creators seeking efficient licensing workflows. The next phase likely involves expanding its user base beyond music supervisors to include independent creators and smaller production companies, while potentially exploring licensing partnerships that monetize its analytical capabilities.