Build a competitive music or audio streaming service faster

We have sub-licenses with Universal Music Group and Believe to expedite licensing and facilitate discussion with all majors and independent labels. We also offer fully licensed music solutions for background music and radio-style services (DMCA) in certain regions.

Our music catalogue contains over 150 million songs from major record labels, including Universal Music Group, Warner Music Group, Sony Music, Believe and Merlin, as well as numerous independent labels.

We can quickly deliver audio assets and metadata, but you'll need licensing agreements with the rights holders. Talk to us about getting you started on the right foot. 

Yes. Tuned Global helps clients navigate music licensing and understand what is required for their streaming service. We can support conversations around rights, territories, service models, and the practical steps needed to move towards a compliant launch.

Yes. We know that high-quality reporting is intrinsic to a successful music streaming service. Our comprehensive reporting includes Regional Rights and Rights Holder Usage Reporting (the required reports you must file to use licensed content). We can also help with financial reporting for royalties payment if required.

Our reporting software RAPPORT allows us to generate reports that meet the rights owners' differing formats and frequency requirements in an industry-approved format, making your life easier.

Yes. We can also generate usage reports for publishers and gate content if needed. We are integrated with Music Reports, HFA Rumblefish, Blokur or CrunchDigital for more advanced content gating and filtering.

Yes. We offer App Analytics to track user sessions, page visits, downloads, retention, attribution and more with integrations like Google Analytics, Appsflyer, or Mixpanel.

Catalogue Consumption Analytics allows you to monitor streams, popular artists, and albums, with access to real-time dashboards on AWS Quicksight.

Our Scalable Data Lake Services enable the ingestion, enrichment, and export of large volumes of data in Parquet file format. This architecture efficiently handles music catalogue metadata, user behaviours, and subscription trends, providing near real-time insights for actionable decisions.

Yes. We built a machine-learning music recommendation engine called TunedIQ that works great with artists from all over the world — from Asia, Africa, Europe, or the US. TunedIQ helps you find your users' best local and international music suggestions.

We also provide genre AI tagging and are integrated with third-party solutions such as Musiio, TiVo and Music Story to provide advanced tagging and search functionality specific to your experience.