Train with confidence. Attribution guaranteed.
Every track licensed. Every inference attributed. Clear ownership and reporting. Built for enterprise compliance.
Attribution that protects rights
and accelerates innovation
Beyond Legal Compliance
Attribution acknowledges the creative contribution behind training data. It’s how innovation respects rights—and how products launch faster with less risk.
Transparent Credit & Reporting
When models generate music, inference attribution identifies influential tracks and rights holders, with exportable reports for both parties.
Setting Enterprise Standards
Musical AI operationalizes attribution for real products—licensed training, verified consent, clear ownership, and compliant outputs.
From licensed training to compliant outputs
Consent is built into the platform—training only works with licensed catalogs, ensuring every track is cleared before use.
Models create music within our secure environment with access controls that prevent unauthorized extraction.
Fast attribution reports identify influential tracks and rights holders, providing shared visibility to AI companies and rights holders.
How it works
Rights holder catalogs live in Musical AI’s secure infrastructure. When a license is granted, AI companies train on rights‑managed music inside our environment—our access controls prevent download or extraction. Every generation is logged, with artist/song attribution reported to both the AI company and the rights holder. Use your own model or train on a Musical AI model.
Built on enforceable attribution principles
Complete Visibility, Zero Ambiguity
Every inference includes full attribution data with influential tracks and rights holders. No hidden training sources, no anonymized credits. Exportable logs verify every claim.
Rights-Driven Compensation
Attribution data directly enables fair compensation tied to verified influence. Rights holders receive transparent reporting on how their catalog contributes with the data they need to manage licensing.
Creative Identity Preserved
Artists and rights holders are identified by name in attribution reports and downstream applications. Your creative contribution isn't anonymized or aggregated away. It's acknowledged, traceable, and tied to your catalog.
Regulatory Compliance by Design
Our attribution framework exceeds EU AI Act and California AB 2013 requirements today and adapts as standards evolve. AI companies get future-proof compliance; rights holders get protection that strengthens with regulation.
Launch Without Licensing Friction
Attribution eliminates the bottleneck: pre-licensed catalogs mean no negotiations per track, and automated consent verification means training can start immediately.
Defensible Products from Day One
When customers or regulators ask "who did you train on?" you have exportable reports, verified consent logs, and inference attribution for every output. No retroactive scrambling.
Compete on Innovation, Not Compliance
While competitors build attribution systems or face lawsuits, you ship features. Our infrastructure handles the complex tracking, reporting, and transparency while you focus on product differentiation.
For Rights Holders
See and control everything in your catalog.
Track-Level Visibility
Every time your music influences an AI generation, you know about it. Track usage, measure influence, and see which AI companies are training on your catalog with exportable reports you own and control.
Granular Control, Direct Deals
Choose what you license, set your terms, and work directly with AI companies. Musical AI provides the infrastructure and attribution and you keep the relationships and leverage. Opt out anytime while maintaining visibility.
Attribution-Driven Revenue
Your catalog's influence is measured and reported. Fair compensation tied to actual usage and contribution and new revenue streams that don't replace streaming, sync, or performance income.
Async Attribution Engine
Powered by neural embedding and neural fingerprinting technology, attribution runs asynchronously. Your inference pipeline stays fast while detailed reports generate quickly. No latency impact on user-facing generation.
Enterprise Integration Suite
REST APIs, Python/Node SDKs, webhook delivery, and batch exports. Versioned schemas, comprehensive docs, sandbox environment, and dedicated integration support.
Scalable & Reliable
Built on enterprise infrastructure with high uptime, automatic failover, and graceful degradation. If attribution is delayed, your product keeps running.
Common attribution questions
Does attribution slow down music generation?
No. Attribution runs asynchronously after inference completes. Your generation pipeline stays fast—attribution reports are delivered via webhook with no impact on user-facing latency. Real-time improvements are continuous.
Is attribution included or an add-on cost?
Attribution is built into our platform and included in licensing agreements. There are no separate attribution fees. It's part of how we ensure transparency and compliance for both AI companies and rights holders. You get reporting feeds and API access as part of the service.
How does Musical AI report on tracks used in training?
Musical AI reports per track. When a licensed track is used to influence AI-generated music, we identify and report that specific track to both the AI company and the rights holder. How rights holders manage internal splits or royalty distribution is handled independently.
Does Musical AI access our model architecture IP?
No. Your model architecture and proprietary algorithms remain secure. While we provide the infrastructure for training on licensed catalogs, your competitive IP and model designs stay protected within our secure environment.
Have more questions about attribution?
Our attribution technology creates transparent, verifiable relationships between artists, rights holders, and the AI companies who train on licensed music.
