Clear answers about who MusiMap is, how we work, and how we handle customer data. For catalogue scope, pricing, or contractual detail, contact our team directly.
What is MusiMap?
MusiMap is a B2B music intelligence company. We help music organisations analyse, enrich, and activate catalogues using structured musicological understanding: moods, genres, languages, acoustic attributes, and related semantic dimensions.
MusiMap is analytical, not generative: we do not produce or train generative music systems, and we are not a streaming service. Our work is to give the industry a shared language for how music feels, not just what it is labelled.
Why MusiMap?
Most music systems describe tracks the way libraries describe books: title, artist, date, category. Useful, but incomplete. Music carries emotion, context, and coherence that standard metadata rarely captures.
MusiMap exists because describing music consistently at catalogue scale is a musicological problem first, and a technology problem second. We bring nearly 40 years of research, expert annotation on over one million tracks, and proprietary models built on that ground truth, so organisations can understand catalogues with depth and consistency, not approximation.
Where does MusiMap come from?
The research behind MusiMap began in 1986 with a fundamental question: how can music be understood beyond metadata? MusiMap was founded in 2008 to turn that long-running programme into a commercial platform, growing from music cognition, acoustics, lexicology, and hands-on catalogue work, long before “music AI” became a category.
The founders and engineering team that shaped that research continue the work today, independently, with the same focus on musicological rigour. For the fuller story, see our About page.
Which AI does MusiMap use?
MusiMap does not route customer audio through third-party AI APIs such as OpenAI or Google. Our models are developed in-house and grounded in MusiMap’s proprietary lexicology: a structured vocabulary built and validated with professional musicologists over many years.
Human expertise shapes how models are trained and evaluated; once deployed, analysis runs at catalogue scale. Machine learning extends reach. It does not replace the vocabulary underneath.
How does MusiMap work?
At a high level: you share audio (or work with audio already in our platform), MusiMap ingests and processes it through configured analysis pipelines, and returns structured intelligence: tagging, profiling, fingerprinting, and related outputs depending on your agreement. Results are available through our APIs and developer portal.
Scope, timelines, and available capabilities depend on catalogue size and contract. Explore the interactive demo or contact us to discuss your use case.
How does MusiMap process audio?
MusiMap works from the audio signal, not from metadata alone. For production use, clients provide the audio files they need analysed; analysis runs on securely stored audio within our cloud infrastructure.
Public demo tools may accept web links for convenience, but production workflows depend on reliable, client-provided source audio.
Does MusiMap train AI models using customer data?
No, not by default. Your catalogue remains yours. Customer audio and metadata are processed to deliver agreed analysis and platform services; they are not automatically absorbed into global foundation models or used to retrain shared models without explicit agreement.
MusiMap does not use customer music to train generative music systems. Any future use of customer content for model improvement would require a clear, contractual opt-in, not silent inclusion.
How does MusiMap protect customer data?
Customer catalogues, unreleased music, and business data are treated as confidential. MusiMap applies access controls, encryption in transit, environment separation, and contractual safeguards aligned with enterprise expectations. Internal access is limited to operational need.
Data ownership, processing rights, and reuse of outputs are governed by your agreement. For more detail, see our Security page or contact us with specific requirements.
Who uses MusiMap?
MusiMap serves enterprise music organisations and selected developers: labels and publishers, streaming platforms, broadcasters and radio networks, catalogue owners, sync and production teams, and automotive experience providers. Our APIs integrate into catalogue management, discovery, programming, and product workflows.
Explore industry use cases for audience-specific examples.
What is MusiMap’s long-term vision?
The music industry has standardised how music is stored, licensed, and distributed. It has never fully standardised how music is understood. MusiMap’s long-term vision is to help the industry develop a deeper, richer, more consistent shared language for music: one that supports discovery grounded in feel, recommendations based on musical similarity, programming aligned with context, and sync workflows that match briefs by meaning.
Products follow from that language; the language does not follow from products alone. Some capabilities, such as advanced semantic search and full recommendation products, are still being rebuilt in the current platform; we are honest about what is available today versus what we are working towards.
How much does MusiMap cost?
MusiMap pricing depends on catalogue scope, capabilities required, volume, and integration model. There is no single public price list because enterprise agreements vary widely.
Start by contacting our team via the contact page with your use case. API documentation and account management are available at developers.musimap.com.