Large-scale UGC royalty processing
We process the complex environments that traditional systems struggle to handle. Managed services designed for UGC content DSPs: poor metadata, massive volumes, and non-musical usage reports.
900M+ transactions, 384M+ videos, 40M+ recordings processed per distribution cycle in selected UGC workflows
The hardest environment for royalty processing
User-generated content platforms create the most difficult conditions for identification and distribution. Metadata is often incomplete or inconsistent, many works have no reliable identifiers, and traditional matching approaches do not scale well in these environments.
Incomplete Metadata
Fragmented data points that fail standard validation checks.
Missing Identifiers
Incorrect or missing ISWC or ISRC tags across massive data subsets.
Massive Volumes
Millions of low-revenue transactions to process.
High Manual Costs
Traditional systems require unsustainable human intervention.
Standard matching logic does not hold up in UGC
Contextual metadata and rigid rule engines underperform when faced with the chaotic nature of social and video platforms.
Contextual Unreliability
Platform-generated context often confuses rather than clarifies matching intent.
Incomplete ISWC Coverage
Users don't know or struggle to complete musical metadata
Too Many Manual Operations
Manual workload spikes exponentially as new platforms and formats emerge.
Fingerprint Limits & Costs
High costs and technical friction of pure fingerprint models reduce ROI.
A managed service powered by cognitive matching
Cognitive matching engine
Using advanced probabilistic logic to identify works where traditional deterministic engines see only noise.
Multi-environment model
Unified processing logic that adapts to different platform APIs and data structures seamlessly.
No dependence on fingerprinting
Reliable identification through metadata enrichment and link-analysis, reducing operational overhead.
Built to process the full file, not just the easy part
Data Ingestion
Aggregating disparate reports from global DSPs and UGC platforms into a normalized, audit-ready intake stream.
Identification
Deployment of cognitive matching algorithms to resolve ambiguous metadata and link usage to verified rights holders.
Long-tail Processing
Automated secondary-tier processing for low-revenue usage transactions, ensuring even micro-royalties are accounted for.
Distribution Outputs
Generating clean, transparent payout files and reporting dashboards ready for financial integration.
Designed for real UGC business models
Our service isn't restricted by business model type. We support the evolving monetization strategies of all DSPs.
Better outcomes in low-quality data environments
Higher matching ratios
Significantly more identification than standard tools.
Full-file processing
Zero leakage on low-volume data lines.
Broader support
Native support for all major and emerging DSPs.
Actionable Reporting
Clear pathways for resolving remaining anomalies.
Managed Operations
Our experts operate the tech so you don't have to.
Technology and operations in one service
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No Operational Complexity
Deploy advanced matching tech without hiring a specialized internal team.
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Lower Manual Burden
Automation handles the most tedious operations, reserving human intervention for manual tasks that create the most value for the business.
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Scale-Ready Model
As platform volume grows, our infrastructure and operations scale automatically.
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Documentation Visibility
Full audit trails for every match and every distribution event.
Ready to improve UGC royalty processing?
See how our managed UGC service helps process noisy datasets, identify more usage, and deliver better royalty outcomes at scale.
Request a Demo