UNBOXA analyzes music catalogs and royalty data to surface inconsistencies, missing revenue, and structural gaps — turning fragmented data into a single, decision-ready score.
Billions in royalties go unmatched every year — not because the money isn't there, but because the data infrastructure to claim it doesn't exist.
Track names, artist credits, and identifiers vary across every platform, distributor, and PRO — making reliable matching nearly impossible.
A significant portion of catalog assets lack ISRC or ISWC codes, creating invisible gaps in revenue tracking and rights attribution.
Payments arrive without clean matching to verified works — creating black box accumulations that rights holders can't access or dispute.
Labels, publishers, and artists receive data from dozens of sources with no single system to normalize, compare, or act on it.
Estimated unmatched royalties held in black box accounts globally
From raw data submission to a structured findings report — UNBOXA runs the entire pipeline.
Client submits intake form. Pain points, catalog scope, and data access are confirmed before anything moves forward.
Catalog metadata, distributor statements, and PRO reports are submitted via structured checklist — no garbage in.
All inputs are standardized, cleaned, and structured into a unified schema — making cross-source comparison possible.
Exact, fuzzy, and context-based matching links recordings to compositions, revenue to works, and identifiers to assets.
Ten rule-based checks surface metadata issues, revenue mismatches, ownership gaps, and reporting inconsistencies.
The Catalog Health Score is calculated across six weighted categories — producing a single, actionable metric.
A structured report is delivered within 3–7 business days: health snapshot, key findings, priority issues, and next steps.
Client findings feed back into the system — improving matching accuracy, detection rules, and scoring precision over time.
CHS transforms fragmented music data into a single, decision-ready metric — scored 350 to 850, weighted across six critical dimensions.
CHS = 350 + (Metadata + Identifier + Ownership
+ Revenue + Coverage + Risk)
CHS becomes more valuable as more catalogs are scored — creating a shared benchmark for music data integrity and revenue intelligence across the industry.
Accepts catalog spreadsheets, distributor statements, PRO reports, and platform exports. Normalizes everything into a unified schema before analysis begins.
Core InfrastructureExact, fuzzy, and context-based matching links recordings to compositions, revenue entries to verified works, and identifiers across sources.
Matching EngineTen rule-based checks surface metadata issues, revenue mismatches, ownership gaps, duplicate records, and reporting inconsistencies — with severity classification.
Detection LayerA single, weighted score (350–850) across six dimensions. Comparable across catalogs, time periods, and deal contexts — the first standardized metric for music asset integrity.
CHS SystemExecutive summary, catalog health snapshot, key findings by category, priority issue table, and tiered recommended actions — delivered within 3–7 business days.
Output LayerAll data submitted under strict confidentiality. Structured intake, controlled data flow, and defined scope — you control what gets analyzed and when.
Security & TrustSoundcharts tracks performance. UNBOXA fixes the infrastructure underneath it.
| Capability | UNBOXA | Soundcharts | Luminate | DISCO |
|---|---|---|---|---|
| Royalty Discrepancy Detection | ✓ Core Feature | ✗ Not offered | ~ Partial | ✗ Not offered |
| Catalog Health Scoring (CHS) | ✓ Proprietary | ✗ | ✗ | ✗ |
| Multi-Source Data Normalization | ✓ Full pipeline | ~ Limited | ✓ Partial | ✗ |
| ISRC / ISWC Reconciliation | ✓ Core Feature | ✗ | ~ Partial | ✗ |
| Ownership & Split Verification | ✓ Included | ✗ | ✗ | ✗ |
| Streaming / Chart Analytics | ✗ Not focus | ✓ Core | ✓ Core | ~ Partial |
| Actionable Findings Reports | ✓ Structured | ~ Dashboards | ~ Dashboards | ✗ |
| Catalog Acquisition / Audit Support | ✓ Built for it | ✗ | ~ Partial | ✗ |
Audit-ready documentation, ownership verification, and structured findings to support disputes, negotiations, and due diligence.
Use Case: Audit ReadinessCHS provides a standardized pre-acquisition health check — surfacing data risks before they become deal problems or post-close surprises.
Use Case: Deal EvaluationIdentify metadata gaps, revenue mismatches, and reporting inconsistencies across your full roster — before they compound.
Use Case: Catalog OptimizationGet a clear picture of where your catalog data is breaking down, where revenue may be missing, and what steps to take to fix it.
Use Case: Revenue VisibilityWe're working with a small number of partners to validate our data ingestion pipeline with real-world catalog data. Apply for beta access and receive a structured findings report within 3–7 business days.
30–60 min to submit data. Findings delivered in 3–7 business days. Fully confidential.