Yes, our $50/year per location pricing is all-inclusive with no hidden fees. This covers unlimited music generation, real-time personalization, and all licensing rights for commercial use. Volume discounts are available for businesses with multiple locations.

You can select moods and playlists that are aligned with your brand and space. However, at this time real-time customization is not available.

BGM uses advanced AI algorithms to generate unique background music tracks for your business environment. All AI models provided by Rightsify are trained on music that we own, meaning that you won't have to pay any license fees to play music in your business.

BGM can be streamed through our easy-to-use web application. The web app works on any device with internet access.

While Gramosynth offers AI-generated synthetic music datasets, GCX provides human-curated, ethically sourced music data. GCX includes real-world recordings with rich metadata collected and labeled by music professionals, making it ideal for applications requiring authentic human-created content.

GCX includes comprehensive metadata covering musical characteristics (genre, tempo, key, instrumentation, chords), technical aspects (recording quality, format), and contextual information (artist, release date).

GCX datasets are delivered through secure cloud storage solutions with human support for integration. All data is hosted in secure S3 buckets which can be retrieved from or we can transfer the data to you.

Every piece of content in Rightsify's GCX library is acquired as a work for hire, with fair compensation provided to creators. We own 100% of the copyrights for each song in our datasets.

Currently, Gramosynth is available exclusively to research teams developing AI models and academic institutions. We're focused on supporting cutting-edge AI music research and development in these sectors. Gramosynth is not meant for creating music to be made available for consumers (streaming, sync licensing) as a standalone product.

Gramosynth maintains high quality and relevance through a comprehensive approach. Our AI models, trained on a diverse and constantly updated library of human-made music, capture nuanced musical characteristics across various genres and styles. We employ rigorous automated checks and reinforcement-learning to ensure accuracy and coherence in the generated data. This process results in synthetic music data that is not only of exceptional quality but also highly relevant for current AI music research and development, closely mirroring the complexity and authenticity of human-created music.

Rightsify provides a permissive commercial license for using the synthetic output in perpetuity for machine learning models, both commercial and non-commercial. In the United States, AI-generated output has no copyright. For countries outside the US, we issue a traditional master/publishing license to use the works, ensuring global compliance and usability.

Gramosynth offers extensive customization options. Beyond generating full tracks with stems and metadata, you can create stem-only datasets, explore genre-blending, and perform style transfers. For example, you can generate datasets of specific instrument stems, like Acoustic Guitar, or create Piano-only versions of full tracks. This flexibility allows for highly specialized and diverse dataset creation.

All Gramosynth output includes detailed, high-quality annotations, mirroring our human-made datasets. These annotations include, but are not limited to, genre, key, tempo, instrumentation, mood, energy, and more. Audio is exported as FLAC 48kHz, with clean, unprocessed stems. Metadata is available in JSON or CSV format, providing flexibility for various research needs. MIDI generation is also available.

Gramosynth allows you to create custom datasets by specifying your desired output through prompts. You can define parameters such as genre, mood, instrumentation, number of tracks, and complexity of the works. Once you've set your requirements, Gramosynth generates a tailored dataset that meets your specifications.​ Datasets can be delivered seamlessly to all major cloud storage platforms (AWS, GCP, Azure)

Synthetic music data refers to artificially generated audio and associated metadata that mimics the characteristics of human-composed and performed music. Created using advanced AI algorithms, synthetic music data serves as a valuable resource for training and developing AI models in music-related applications. This data encompasses not just the audio itself, but also detailed annotations such as genre, tempo, key, instrumentation, and mood. Unlike traditional datasets compiled from existing recordings, synthetic data can be generated in vast quantities, with precise control over various musical parameters. It offers several advantages: Scalability: Unlimited generation of diverse musical output Customization: Ability to create data for specific genres, styles, or musical elements Intellectual Property: No concerns about copyright or personal data issues Consistency: Uniform quality and annotation across the dataset