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Music Intel Ltd

Folkestone, Kent, United Kingdom

Musicata Pro

Connected roster intelligence and artist operations for labels, distributors, management companies and education partners. Musicata Pro links an organisation view with a branded Artist Lab for every active artist in scope.

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BlackBox Royalty Investigator

Human-led forensic royalty investigation for publishers, rights teams, estates and catalogue owners. BlackBox preserves source records, investigator actions and findings in a full chain of custody and produces a reviewable evidence pack.

It does not file claims, decide legal entitlement or guarantee recovery. The client and its advisers decide what action follows.

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Roster-wide streaming-integrity monitoring inside Musicata Pro. StreamShield shows where review should begin and records the factors behind that priority. People decide what happens next.

- Field Notes / No. 026
No. 026 Chief Data Office BlackBox Royalty Investigator In research research brief 13 min read

The ISWC-ISRC matching problem, measured.

Of the recordings in our reference corpus, a material percentage cannot be reliably linked to a registered work via ISWC-ISRC matching. No link means no royalty routing.

Editorial owner: Music Intel

- Status

Deep-research pass under way.

This piece is in the research pipeline. The thesis and the questions we are answering are below. The fully-drafted article will publish when the Office has finished working through the literature. Subscribe via the contact form to be notified when it lands.

- Thesis

The argument.

The ISWC-ISRC matching problem is the second-largest silent failure in the global royalty pipeline (after CWR errors). This paper quantifies the matching gap against our 207-million-track reference corpus, classifies the four most common root causes, and describes the resolution methodology.

- Research questions

What we are answering.

  • What is the ISWC and how widely is it adopted - coverage of the global repertoire?
  • Published research on ISWC-ISRC matching accuracy or failure rates?
  • Documented root causes - missing ISWCs, multiple ISWCs per work, ISRC reuse, metadata inconsistency?
  • Work by DDEX, CISAC, or academic researchers on identifier resolution?
  • How does MusicBrainz approach work-to-recording matching - what does its data say about the scale?
  • What do commercial databases (Gracenote, AllMusic, Luminate) claim about coverage?
- Tone & format

How it will read.

Technical method paper. Quantitative and specific. Reads like a data-engineering post-mortem with commercial implications.