Accurate Music Royalty Calculations with AI

Improve music royalty calculations with accurate, automated artist matching that eliminates mismatches across catalogs and datasets. The Artist Name Matching Accelerator increases payout accuracy, speeds up royalty allocation, and reduces manual effort through context-aware matching and reliable identifier mapping.

Turning Fragmented Artist Data into Accurate Royalty Calculations

Increase Payout Accuracy Deliver Precise Royalty CalculationsReduce Manual ReconciliationPrevent Revenue Leakage

Enhance Data Quality at ScaleStrengthen Trust Across Rights & Royalty Partners

Combining Deterministic Logic with AI Precision

The Artist Name Matching Accelerator applies a multi-stage approach that maximizes match accuracy while minimizing risk and manual effort.

Context Lookup

Reduce mismatches from the start by narrowing candidate artists using track and album context, ensuring more relevant and reliable matches.
Principle: Use release context to improve precision.

Deterministic Matching

Speed up royalty processing and eliminate manual work by resolving clear matches instantly with rule-based logic.
Principle: Use release context to improve precision.

LLM Fallback

Resolve the hardest edge cases and maximize match coverage by using AI to identify aliases, transliterations, complex naming patterns—reducing unmatched records without risking incorrect allocations.
Principle: Apply AI only where rules are insufficient.

Music Distributors

✓ Eliminate artist mismatches in revenue flows
✓ Accelerate partner onboarding and data integration
✓ Scale catalogs without increasing reconciliation effort

Music Publishers

✓ Ensure consistent artist resolution for royalty calculations
✓ Reduce disputes and post-calculation adjustments
✓ Gain clear, cross-territory catalog visibility

Societies (PROs / CMOs)

✓ Standardize artist matching across large-scale datasets
✓ Minimize compliance risks and payment errors
✓ Process growing volumes without operational overhead

Record Labels

✓ Align artist data across distribution, usage, and royalties
✓ Reduce revenue leakage from mismatched records
✓ Improve reporting accuracy across partners and DSPs

Streaming Platforms

✓ Improve metadata quality across catalogs at scale
✓ Enable more reliable reporting and analytics
✓ Support growth without manual data cleanup

Live Music & Events Companies

✓ Unify artist data across events, ticketing, and platforms
✓ Improve audience and performance insights
✓ Reduce duplication and manual data correction

Why Is Our Accelerator the Right Solution for You?

AI-powered matching, going beyond keyword and fuzzy logic to resolve complex artist variations

Context-aware by design, using ISRCs, track titles, and release data to improve match confidence

Seamlessly extends your existing royalty and rights workflows, not another disconnected data silo

Configurable and adaptable, allowing you to tailor matching logic to your data and workflows

Reduces manual reconciliation effort, acting as a pre-filter to minimize costly edge-case resolution

DataArt is an end-to-end partner for major music labels, publishers, performance rights organizations, DSPs, and the entire music business ecosystem.

Eliminate Artist Mismatches and Fix Music Royalty Calculations

Request a personalized demo to see how the Artist Name Matching Accelerator improves royalty accuracy, reduces disputes, and prevents revenue leakage. Fill in the form and our experts will contact you within 24 hours to assess your data challenges and show how to improve matching accuracy within your existing workflows.

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