How the Noctil Platform and its engines are configured around real rights, metadata and royalty operations — organized by the segment they serve and the technology behind them.
Model your own data — members, licences, tariffs, agreements — as no-code custom objects on music and AV metadata infrastructure, standards built in.
Group an original, its remasters, edits, live versions and remixes into one cluster across different ISRCs, for review and usage matching.
AI agents research each claim, compare assets and present scored, evidence-backed recommendations, so specialists review only what needs a human decision.
Give PROs, MROs and the MLC one system to intake, validate and manage repertoire across CWR and DDEX RDR, with acknowledgements and dedup at intake.
Merge duplicate registrations of the same song into one trusted musical work, even without an ISWC, with under 0.01% error and 98% automatic merging.
Merge duplicate sound-recording registrations into one complete record with full performer line-up, even when the ISRC is missing or wrong.
Resolve performer names across spelling variants, stage names and pseudonyms into one trusted identity per performer, even without an IPN or ISNI.
Resolve label and company names into one record per sound-recording rightsholder across imprints, parent companies and ownership changes.
Build a shared source of truth for recording and work metadata across rights organizations, each keeping control of the data it owns.
Link public-performance and digital usage to the correct musical works for PROs and MROs, bridging recording to work, with under 0.02% error.
Match high-volume music usage reports to the correct sound recordings, even when ISRCs are missing or wrong, with under 0.01% error.
Model your own data — members, licences, tariffs, agreements — as no-code custom objects on music and AV metadata infrastructure, standards built in.
Give AV rights societies one system to intake, validate and manage film and TV repertoire, with the full series/episode/version hierarchy and ISAN/EIDR.
Resolve tangled producer and production-company names into one trusted record per producer across co-productions and ownership changes.
Merge duplicate film, series and episode registrations into one trusted audiovisual work, even without an ISAN or EIDR, with under 0.018% error.
Build a shared source of truth for recording and work metadata across rights organizations, each keeping control of the data it owns.
Match TV broadcast usage to the exact film, series, episode and version, even when ISAN/EIDR identifiers are missing, with under 0.018% error.
Model your own data — members, licences, tariffs, agreements — as no-code custom objects on music and AV metadata infrastructure, standards built in.
Group an original, its remasters, edits, live versions and remixes into one cluster across different ISRCs, for review and usage matching.
Build a shared source of truth for recording and work metadata across rights organizations, each keeping control of the data it owns.
AI agents research each claim, compare assets and present scored, evidence-backed recommendations, so specialists review only what needs a human decision.
Run each label, publisher or client in its own secure workspace on one platform, with separate metadata, contracts, royalties and permissions.
Process publishing royalty income from societies, DSPs and sync, match it to works, calculate each writer's share, and produce clear statements.
Keep a publisher's works, writers, shares, recordings and contracts in one validated system, with multi-standard CWR delivery and version control.
Turn executed songwriter and composer agreements into structured, calculable rules for accurate writer royalty statements, with far less manual setup.
Register works and collect royalties directly from collecting societies across 24+ territories, cutting publisher admin overhead by 22–36%.
Group an original, its remasters, edits, live versions and remixes into one cluster across different ISRCs, for review and usage matching.
AI agents research each claim, compare assets and present scored, evidence-backed recommendations, so specialists review only what needs a human decision.
Run each label, publisher or client in its own secure workspace on one platform, with separate metadata, contracts, royalties and permissions.
Process a label's DSP, distributor and physical sales income, calculate each artist's share under contract, and produce transparent artist statements.
Turn executed artist agreements into structured, calculable rules for accurate label royalty and profit-share statements, with far less manual setup.
Keep a label's recordings, metadata, assets and contracts in one validated system, with multi-standard DDEX ERN/RDR delivery, version control and rollback.
Give catalog investors one asset-level view of performance across every catalog, tracked against the acquisition model, with auditable reporting.
Track an acquired catalog across masters, publishing and trademarks in one linked record, with chain of title, obligations and key dates.
Keep a label's recordings, metadata, assets and contracts in one validated system, with multi-standard DDEX ERN/RDR delivery, version control and rollback.
Keep a publisher's works, writers, shares, recordings and contracts in one validated system, with multi-standard CWR delivery and version control.
Run catalog due diligence faster: AI reads scanned agreements, structures rights data and links it to assets, cutting pre-acquisition review by 80%+.
Model your own data — members, licences, tariffs, agreements — as no-code custom objects on music and AV metadata infrastructure, standards built in.
Split enriched usage into a separate report for each label or publisher, in its own format, with every direct-licence deadline tracked.
Turn a licensee's usage logs into society-ready reports in each society's format, delivered on schedule, with acknowledgements and deadlines tracked.
Onboard every content partner into its own account connected to yours, with self-service submissions, validation on intake and full oversight.
Turn a licensee's bare usage logs into rights-ready reports, matching each line against 55M+ works and 300M+ recordings and enriching with rights data.
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Whether it's metadata, matching, rights or royalties, we'd be happy to explore what's possible.
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