Musical AI Platform
tool·rights licensing attribution·active
Enterprise consent, attribution and compensation infrastructure for generative-music systems.
Verified facts
| Official site | https://www.wearemusical.ai/ ↗ |
|---|---|
| Geography | United States market |
| formats | attribution records; reports |
| platforms | enterprise platform; integration layer |
| access model | enterprise and event-metered attribution |
| integrations | generative AI systems |
| target users | model developers; rights holders; music businesses |
| lifecycle notes | Available or actively developed at snapshot date |
| ownership claim | Separates master and publishing attribution |
| api availability | Enterprise integration |
| language support | English interface; generated-language coverage as documented |
| supported workflows | consent management; training-data licensing; per-output attribution; reporting; compensation |
| functional categories | rights, licensing, attribution and provenance; enterprise infrastructure |
| official documentation | https://www.wearemusical.ai/attribution |
| geographic availability | United States self-service or enterprise availability |
| product owner developer | SOMMS AI Inc. d/b/a Musical AI |
| current pricing evidence | Pricing is described per attribution event; exact contract rates are not public |
| named model dependencies | unknown |
| commercial use rights claim | Provides licensing infrastructure rather than a blanket license to all output |
| disclosure and provenance claim | Evidence-linked per-output attribution sums shares to 100%, according to vendor |
| evidence backed differentiators | Post-generation attribution without requiring model internals; Master and publishing attribution tracked separately |
| documented dataset or research dependencies | Customer-licensed sound recordings, compositions and voice rights |
Current
| owned or developed by | Musical AI |
|---|---|
| licensed training data via (by) | maestro |
Sources & changes
1d ago · highhow verification works
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