Amadeus Code

Amadeus Code is an end-to-end music AI data infrastructure and suite of tools designed to provide rights-safe commercial use. Built on in-house training data, the platform offers solutions for generating MIDI songwriting ideas, creating audio materials for video production, and managing rights. It serves creators, developers, and enterprises looking to mitigate copyright risks in AI-generated and library music.

• Generate MIDI ideas for chords, melodies, and rhythms to bring into a DAW for songwriting
• Generate high-quality music and sound materials for video and content production using FUJIYAMA AI SOUND
• Browse royalty-free music libraries for YouTube videos, Shorts, stores, and corporate content via Evoke Music
• Access a rights-cleared music data platform, MusicTGA-HR, providing training data, music supply, and API integration for enterprise products
• Manage copyrights and master rights with CONNECT for composers and producers
• Design sound experiences for brand value using AURALITH
• Utilize OTOKAI, a wellbeing experience program connecting people through music and AI

Pros

• Provides training data and music supply built entirely on in-house data to ensure rights-safe commercial use without unauthorized third-party copyrighted works
• Offers dedicated tools for specific workflows, ranging from MIDI generation for songwriters to royalty-free libraries for video creators
• Includes enterprise infrastructure options like API integration and rights-cleared data platforms
• Features rights management tools designed to turn copyrights and master rights into assets for producers and composers

Cons

• Pricing is not published on the page and requires contacting the company for details
• Specific technical system requirements or supported DAW formats beyond generic mentions are not detailed in the page text
• Exact details on API rate limits or enterprise contract terms are omitted from the public text

Amadeus Code fits enterprises, developers, music producers, and content creators who require copyright-safe music AI tools and royalty-free libraries for commercial projects, YouTube videos, and spatial sound design. It is a poor fit for casual listeners looking for a standard consumer streaming app or creators seeking open-source codebases, as the platform is proprietary and built on in-house data infrastructure.

The listing states a freemium model with a free tier and paid plans above it. The Free tier costs $0 and includes MP3 preview downloads and the ability to purchase individual WAV tracks. The Creator Studio plan costs $9.99 per month or $7.99 per month with annual billing ($95.90 per year), including a personal licence, unlimited multitrack audio and MIDI downloads, and up to 20 high-quality generated audio tracks with rights certificates per month. The Business plan costs $23.99 per month or customized monthly-equivalent rates with annual billing ($287.88 per year), adding business licenses, unlimited monetized YouTube channels, and client projects while maintaining the 20-track monthly limit for generated WAV files. The Enterprise plan uses custom pricing and requires users to contact sales for blanket licensing, multi-location BGM, and AI development data provision.

Unlike generic music AI generators that risk legal complications by training on third-party copyrighted works, Amadeus Code builds its entire infrastructure on in-house training data. This distinction provides a rights-safe environment for commercial projects, complemented by specialized platforms for rights management, API integration, and brand sound design.

DAWs for importing MIDI ideas, and APIs for enterprise products through MusicTGA-HR.

Amadeus Code is worth trying for creators, developers, and enterprise teams who need rights-cleared music artificial intelligence infrastructure and royalty-free libraries. The platform operates on a freemium model, though exact tier pricing is not published on the page. Users who require open-source tools or unverified training sources will need to check compatibility, while commercial projects seeking to minimize copyright risks will find its in-house training data approach relevant.