Detect AI-generated musical works before they impact institutional resources.
Each track analyzed at intake, with a record of its analysis. Applied at repertoire ingestion, before impact on institutional administration.
Built for collecting societies
Operational capability, documented cases, and institutional framework.
The technical layer transforms institutional policy into operational capability.
The system analyzes catalogs at repertoire ingestion, with complete traceability. The analysis integrates audio signals. The collective management organization exercises distribution according to its established institutional criterion — the system provides the technical layer, it does not replace institutional authority. The operational capability also applies to distributors and record labels facing the same challenge at catalog ingestion.
Collective management organizations have established policies on AI content. Without technical capability to enforce those policies at scale, the policies operate on paper — not in practice. Every AI track that enters the repertoire without detection redirects royalty collection toward registrations the organization explicitly does not represent, simultaneously compromising the integrity of the institutional mission, member trust, and accumulated legal exposure.
SGAE 2025 study and Goldmedia 2024 study project 27-28% reductions in royalty distribution by 2028 in the European markets measured.
Detection cost represents a fraction of the economic value preserved under institutional control.
For a collective management organization processing thousands of tracks monthly, each percentage point of undetected AI content translates directly into royalty collection that escapes institutional criterion — simultaneously compromising member trust, accumulated legal exposure, and operational reputation. The relevant operational evaluation does not focus on the cost of detection, but on the estimable institutional risk of sustained non-detection.
Copyright frameworks across operating jurisdictions — from European Union member states to the United Kingdom and the United States — constitute the institutional substrate on which technical detection capability at repertoire ingestion operates. For collective management organizations, distributors, record labels, and IP counsel administering or protecting repertoire across cross-border catalogs, the transformation of institutional policy into systematic enforcement capability at repertoire ingestion preserves institutional criterion over catalog administration.
Why INBEstudio
Built for Latin repertoire. A human in the loop when the answer is not clear-cut.
Built for Latin repertoire
We measure the system on music in Spanish and Portuguese. It is a specialization, not a limit: we work with catalogs from any region.
When in doubt, review
When the evidence is not conclusive, the system does not assert: the track is flagged for review, with the details of the analysis. The final decision always rests with a person on your team.
A single function: detection
Your catalog enters the technical analysis, gets processed, and the report is returned. That is the full lifecycle of the track in our system — the analysis is the beginning and the end of the process. The conclusion you receive is exactly the output of the technical analysis, with no commercial reuse of the processed catalog.
What we measure, and how we document it
Results from laboratory tests, with their scope stated next to each figure. Real-world results may vary depending on audio quality, genre, and production characteristics.
Detection rate in laboratory tests on two of the leading generators, Suno and Mureka. Results on other generators may differ, and may vary depending on track quality, file format, and prior processing applied.
Cryptographic timestamps on every forensic report — chain-of-custody documentation.
How It Works
Seamless integration with your existing systems
Connection to the institutional catalog
Via web portal, REST API, or batch processing. No prior migration nor complex technical integration is required.
Automated detection of AI content
The system analyzes each track in an average time under 2 minutes. The first analysis after a period of inactivity may take a few minutes longer. For extensive catalogs, batch processing in parallel.
Flagging only of tracks that require human attention
The system signals tracks with uncertainty — divergent signals, ambiguous cases, among other cases — for review by the CMO team. Tracks with clear classification process without manual intervention.
Forensic analysis in cases of doubt
For disputes or regulatory submissions, a complete forensic report with cryptographic chain-of-custody is generated. RSA-SHA256 digital signatures and RFC 3161 timestamps.
Forensic-Grade Documentation
Every analysis can generate a comprehensive forensic report designed for chain-of-custody documentation.
Digital signatures (RSA-SHA256)
CryptographicRFC 3161 timestamps
TimestampedSpectral analysis graphs
Visual EvidenceMulti-layer analysis
Cross-referencedOnline report access
TransparentBuilt for Collecting Societies
Solutions designed for your specific workflows
Analyze at the Point of Registration
Help identify potential AI-generated content before distribution begins.
COMPLIANCE
Institutional privacy preserved.
Files are deleted upon analysis completion. Processed content is not used for model training or dataset enrichment.
How we work with you
Try it first, at no cost. We run the service on a sample of your own catalog. You see what the system identifies, what remains uncertain, and why. The results are yours.
Then, a price designed to cost you less than reviewing by hand. If the service is useful to you, we agree on a per-track price, calculated from public data, with you, before anything is charged.
Ready to Get Started?
Schedule a demo or request a pilot program