Royalty Tracking and Rights Management with AI |…

Royalty Tracking and Rights Management with AI

AI improves accuracy and transparency in royalty accounting for music, film, and publishing. Fingerprinting and metadata reconciliation identify works and contributors across platforms.

Machine learning detects reporting anomalies, duplicate claims, and missing usage, reducing disputes and speeding payments. Smart contracts can automate splits with audit trails.

Data Model and Identification

Works and contributors are identified through fingerprints (audio, video, image), ISRC/ISWC/ISBN codes, and enriched metadata—contributors, territories, license terms, and splits. Disambiguation resolves name variants and conflicting registrations.

Reconciliation and Matching

live demo · related simulation● LIVE

Anomaly Detection and Dispute Prevention

Models surface under-reporting, duplicate claims, unusual territory spikes, and timing gaps. Early alerts enable outreach and correction before statements lock.

Smart Contracts and Automated Splits

Frequently asked questions

What is the role of AI in improving royalty management?

Privacy, Consent, and Governance

How do access controls protect sensitive data within the system?

Access controls protect sensitive data.

What kind of reporting tools are available for stakeholders?

Reporting, Dashboards, and KPIs

How do stakeholders monitor usage by platform and territory?

Stakeholders monitor usage by platform a?

▶ Try it live

Everything above runs in your browser — open Earthquake Wave Propagation Simulation and change the parameters while it is running. Nothing is installed, nothing is uploaded, the whole model lives in one tab.

▶ Open Earthquake Wave Propagation Simulation simulation