Sonic Atlas is a specialist archive and data provider supplying historically significant music recordings, analog master materials, and multitrack stems for artificial intelligence and machine-learning applications. Our libraries originate from a family archive accumulated over more than a century and are fully owned and licensed for structured dataset use.

Our datasets include:

• Analog master recordings

• Multitrack stems and isolated instrument recordings

• Historically preserved studio sessions

• Commercially successful and major-artist material

• Curated training datasets structured for machine-learning environments

All materials are professionally digitised and organised for technical compatibility and scalable dataset ingestion.

Yes. Sonic Atlas owns the master rights to the recordings contained within our archive. This allows us to provide legally secure licensing pathways for AI training, machine-learning development, and research applications. Access to the materials is granted through structured licensing agreements that define the scope of permitted use.

Dataset licensing is structured on a case-by-case basis. Pricing depends on factors such as dataset scale, the type of recordings or stems requested, the intended AI or machine-learning application, and the scope and duration of the licence.

Because Sonic Atlas provides curated archives and fully owned master recordings, most partnerships involve custom dataset agreements aligned with each organisation’s technical and development requirements.

Datasets are typically delivered through secure digital transfer or controlled access systems. Delivery formats and structures are tailored to meet the technical requirements of each partner's machine-learning environment.

Yes. Sonic Atlas can provide curated datasets aligned with specific training objectives, model development stages, or research requirements.

If you are developing AI or audio technology and would like to explore dataset licensing, please submit an enquiry through our contact page with details about your organisation and project.

To help us assess your request efficiently, please include:

• Organisation name and type

• Intended AI or machine-learning application

• Dataset scale requirements

• Project timeline or development stage