Licensed, expertly curated music datasets built for responsible, high-quality AI training.

AI is reshaping how people discover, create, and interact with music. But none of it works without the right foundation. Models need high-quality training data: licensed, permissioned, structured, and musically meaningful. That’s exactly what MassiveMusic delivers.

Our AI Training Data service provides rights-approved music enriched with deep metadata; built by PhD data scientists and musicologists, governed by transparent rights-holder control. AI companies get clarity and compliance. Creators get protection and compensation.

MassiveMusic's AI Training Data Service provides:

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01

Licensed and Opt-in Data

A single, rights-first pathway ensuring every track is approved by the rights holder for compliance.

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Fully Traceable Datasets

Offers transparency regarding the origin and usage of the music content.

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Rich Metadata

Each track is enriched with more than 30 metadata fields for enhanced utility.

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Expert Curation

Datasets are curated by musicologists and PhD-level data scientists.

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Clean and Consistent Structure

Audio and metadata are clean, consistent, and structured for direct integration into machine-learning environments.

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Operational Efficiency

Reduces operational overhead for both AI teams and rights holders.

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Improved Model Performance

Provides a reliable and compliant dataset foundation to enhance model output.

Key Differentiators

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01

One agreement

One agreement opens access to multiple licensors, removing the need for individual deal-making.

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No DDEX Integration Required

Our system is DDEX compliant and integrated directly into all existing DDEX suppliers. You take delivery of universally normalized data through our single, trusted API. The same one used by the largest digital platforms for over 20 years.

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Fully licensed

Fully licensed, opt-in datasets with rights-holder approval and complete traceability.

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04

Clean audio

Clean audio with unified metadata enriched by more than 30 musical and structural dimensions, including lyrical themes.

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Expert curation

Expert curation from musicologists, supervisors and PhD-level data scientists.

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06

Machine-learning

Structured for machine-learning ingestion with integrated lineage, auditing and reporting.

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Removing Risk

Lower engineering and data-prep effort while removing legal and compliance risk.

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100 million tracks

Infrastructure proven across more than 100 million tracks and trusted by leading global music and technology platforms.

LQIP