Global Copyright Exchange (GCX) by Rightsify provides a comprehensive and compliant dataset licensing framework to developers, music and entertainment companies, and anyone else looking to train generative AI ethically. With more than one hundred years of copyright-cleared music in a wide range of genres, GCX is the only “clean” catalog ...
Rightsify’s Hydra model is open to all–bringing better-sounding music and more flexible track lengths to businesses, artists and creators–with full commercial usage.
Rightsify is opening up its datasets and models to the world, letting anyone generate high quality AI music that sounds like human-made music - entirely from text prompts. Trained exclusively on the Rightsify-owned catalog, Hydra makes Rightsify the first music rights holder to turn its expansive music library...
Rightsify’s Hydra model is open to all–bringing better-sounding music and more flexible track lengths to businesses, artists and creators–with full commercial usage.
Rightsify is opening up its datasets and models to the world, letting anyone generate high quality AI music that sounds like human-made music - entirely from text prompts. Trained exclusively on the Rightsify-owned catalog, Hydra makes Rightsify the first music rights holder to turn its expansive music library into an AI model open to all. This means that the generated audio will be unencumbered by licensing snags and free to use however a business, artist or creator wishes.
“Hydra represents a major breakthrough in AI music generation. It's not just about the advanced technology; it's about breaking down the barriers in music production and empowering any individual or business to create high-quality music” explains Rightsify CEO Alex Bestall. “With Hydra, businesses, artists, and creators can experience frictionless generation, hassle-free licensing and freedom of use. This model is a game-changer for the industry, offering a music generation machine without the complexities of traditional music licensing.”
Rightsify’s Hydra model is trained exclusively on a dataset of 60k songs with more than 300 unique musical instruments, using NVIDIA’s powerful A100 GPUs. Users can make music from 10 seconds up to 2 minutes in length, far longer than many widely available models. Along with full-blown tracks, the model can generate sound effects such as white noise, binaural beats, rain, ocean sounds, and other elements helpful for sound design or functional music projects. It can also generate samples and loops inspiring and streamlining artists’ work.
“We encourage users to be detailed in their prompts and provide context as well as instrumentation, key, and tempo to improve results,” Bestall notes. “It’s worth experimenting, too, to see what Hydra can do, especially in genres you might not expect, like indie pop, bossa nova, or synthwave. Hydra does great with guitars, in part because it’s trained on well-labeled stems, so it’s capable of generating a wide range of music effectively.”
As the model is backed by Rightsify's copyrights, users will be able to use their output for any commercial use case, including scoring videos, releasing on DSPs, or incorporating into a game or TV show. Both businesses and creators can get started with the $99 / month plan that includes unlimited track generations for the first 30 days, then 1000 track generations per month after. The model is also available as an API for developers wanting to incorporate generative AI into their products, whether it’s a productivity, fitness or content creator app. In other words, any developer can now build generative music applications legally without clearing rights with third-party copyright holders.
“At Rightsify, we prioritize originality and ethical standards in AI music generation. Our approach ensures that all music created through Hydra is genuinely unique, not deep fakes or imitations of existing works. This approach allows users to confidently generate music at scale, free from legal concerns or infringement issues” says Bestall.
About Rightsify
Rightsify is a global leader in music licensing, renowned for its innovative approach over the past 10 years. Specializing in providing curated soundtracks for public spaces, digital platforms, and AI technologies, Rightsify operates worldwide, continually expanding the reach and impact of music in diverse environments. For more information, please visit rightsify.com
New carefully curated, open-source dataset will let everyone train music models without worries about copyright.
GCX knows what the AI music community needs right now: A diverse, open-source dataset that covers nearly every crucial genre and instrument from around the world. So it’s providing one that includes 15k tracks, including stems, chords, and detailed metadata parameters for every track.
Many AI music datasets run the risk of being falsely labeled as creative commons or are scraped from copyrighted material. GCX's copyright-free dataset solves this problem, giving everyone the peace of mind to train their music models without worry.
“Music AI won’t progress if researchers and developers can’t get good datasets that don’t hide any copyright pitfalls,” explains GCX founder and CEO Alex Bestall. “Our datasets are used by some of the best teams in the world already, but we wanted to open things up to more people, to keep this field moving forward.
The GCX dataset will be available on all major cloud and dataset services - everywhere AI researchers might need it. The dataset will be released under an MIT license, which will allow limited commercial use for companies or services. These open-source datasets can be used to train AI music models to generate new music, compose music in different styles, transcribe, and recommend personalized music playlists. These datasets can also be used to develop new AI music products and services, including new foundation music models, and educate AI music developers on the continuing advancements of the use of AI in music.
“Open-source datasets are essential elements in supporting a truly innovative AI ecosystem, where creative small players can compete with larger teams. At a time when so many models and resources are moving from open to closed, we wanted to head the opposite direction, making better music data available to more people,” says Bestall. “We see this as a vital next step in making better musical experiences and products using AI.”
About GCX
Global Copyright Exchange (GCX) by Rightsify provides a comprehensive and compliant dataset licensing framework to developers, music and entertainment companies, and anyone else looking to train generative AI ethically. With more than one hundred years of copyright-cleared music in a wide range of genres, GCX is the only “clean” catalog with the robust metadata to support training of text-to-music and other AI models. For more information, go to www.gcx.co.
GCX (Global Copyright Exchange) by Rightsify is rolling out Global Harmonies, the company’s latest initiative in exponentially broadening the musical horizons of generative AI. Global Harmonies bridges gaps between local culture and global AI models by ethically providing high-quality audio of more than one-thousand unique international instruments. Then, expert musicologists produce rich datasets ready for large-scale AI model training. GCX clients using Global Harmonies can create music that appeals to, and is representative of, specific audiences all over the world.
“When we created Global Harmonies, we wanted to put together as much good data as possible and not limit our dataset offering to Western-centric music,” says Rightsify founder Alex Bestall. “Our team has been hard at work to make sure this is a project that does justice to the incredible breadth of music and musicians we’ve worked with around the world.”
Global Harmonies steers machine learning in sonically diverse directions. It includes data from more than 1,000 different instruments, all copyright compliant and ready for use in large scale music models. Whether a project has you searching for balafon or balalaika, djembe or didjeridu, Global Harmonies has it covered with millions of tracks of quality sound files amounting to over one million hours of outstanding audio. Perhaps even more importantly, Global Harmonies emerged from collaborations with skilled local performers to capture regionally significant sounds with high fidelity, in keeping with GCX’s commitment to ethical data creation.
“I’m thrilled at how almost every world instrument is represented in GCX’s and Rightsify’s datasets,” Bestall continues. These include such sounds and regions as:
Africa:
Americas:
Asia:
Europe:
Oceania:
…and many more instruments accessible in the Global Harmonies data.
The world is better connected than ever before, and it’s time for AI-generated music to reflect that. GCX’s Global Harmonies helps generate music that will strike the perfect chord for any region, serving the diverse needs of media companies and commercial enterprises looking to create music that is at once compelling and enjoyable for its target audiences everywhere.
About GCX
Global Copyright Exchange (GCX) by Rightsify provides a comprehensive and compliant dataset licensing framework to developers, music and entertainment companies, and anyone else looking to train generative AI ethically. With more than one hundred years of copyright-cleared music in a wide range of genres, GCX is the only “clean” catalog with the robust metadata to support training of text-to-music and other AI models. For more information, go to www.gcx.co.
GCX (Global Copyright Exchange) by Rightsify, the leading ethical, risk-free music dataset provider, has created datasets to enable large-scale music models (LMMs) that are emerging as the gold standard in AI music creation. These models will underpin the next era of products and services in making music production and music generation accessible to all. With large-scale music models, every prompt will be answered, and every musical style and instrument can be generated.
To get there, however, models need data, and large-scale music models have extensive data requirements, all of which GCX has worked hard to meet. Large-scale models need meticulous metadata that reflects deep knowledge of music and its structures and patterns. GCX provides more than 32 billion parameters and tracks labeled by trained musicologists. Models need a wide range of instruments and sounds to reflect the global nature of many AI music products. And they need very large datasets to reach their full potential. GCX’s dataset totals 4.4 million hours of music, more than five lifetimes of total listening.
“We’re excited to offer our data to companies launching innovative new music products and services, and with the AI and machine learning research community” says Alex Bestall, founder of Rightsify and GCX. “With the advent of large-scale music models, we believe our datasets will catalyze a revolution in accessible music creation, ushering in a new era of diverse musical applications and experiences.”
In addition to scholarly work, GCX’s datasets and large-scale music models can power a variety of use cases, including:
DIY Music Production. LMMs can help build new tools and features that help make music creation accessible for all.
Music Generation for Ads. Instead of searching high and low for the perfect production music or commercial track, ad creatives can let AI craft instant custom sonic branding.
Background Music for Videos. LMMs let creators leave bland stock music behind by giving them the power to generate the perfect, genre-blending track, complete with instruments of their choice, to make video content far more compelling.
Adaptive Music in Gaming. Music that morphs with every gameplay move is now possible, thanks to LLMs.
Music APIs. LMMs promise to make music APIs perform far better, ushering in a new era of hyper-personalization and music discovery.
“The era of large-scale music models demands an entirely new approach to datasets, especially in terms of copyright clarity and flexibility for refining groundbreaking models and apps,” says Bestall. “Legal and high quality datasets should not be a stumbling block on the road to better generative music models. We’re making sure everyone can find a firm foundation for innovative and exciting AI music use cases.”
About GCX by Rightsify
The go-to source of music datasets for machine learning, GCX provides meticulously labeled large music datasets to startups, enterprise-level companies, and researchers. With billions of data parameters and several lifetime’s worth of music, Fully cleared and copyright-free, GCX gives customers the first truly risk-free solution to training data.
Ideal for text-to-music, GCX’s huge data set is 100% cleared, culturally diverse, and ready to train the next generation of generative music AI.
For AI to do right by the music, it needs to be trained on datasets that honor copyrights. Yet most existing datasets have unclear provenance, mixing copyright-free and copyrighted music and overemphasizing certain geographical regions and genres.
GCX, a new subsidiary of music licensing agency Rightsify, has created the world’s largest ready-to-go datasets that span the globe and are completely cleared. For its millions of tracks— hundreds of year’s worth of audio—GCX provides robust metadata with more than 400 parameters. Leading the pack, it has already licensed several customers, from startups to established tech companies, ready to deploy a more ethical, worry-free approach to AI training music.
“We saw a profound need for quality datasets that will allow AI music companies to train, grow, and scale their products without worrying about copyright infringement and all the future liabilities that come with it,” explains Alex Bestall, founder of Rightsify. “We also knew that the more detailed metadata, the better, when it comes to training the next generation of models. GCX provides both.”
Rightsify has been a successful player in B2B music for a decade, specializing in background music licensing and providing curated music for thousands of shops, hotels, airport lounges, and other businesses around the world. For these customers, the company had created music featuring nearly every instrument and genre imaginable, from pianos and kotos to lofi synths, and held all the rights in the catalog. Last but not least, it has metadata that describes everything from BPM to mood to chord progressions, making this music the perfect raw material for AI training.
Now, these datasets are available to AI developers, music companies looking to train custom models, and innovators outside of music who are laying the groundwork for products that embrace audio. “GCX aims to shape a new era in music, providing AI companies with licensed datasets to enable legal commercial release of AI music,” says Bestall. “This is our vision for an ethical and innovative future.”
About GCX
Global Copyright Exchange (GCX) by Rightsify provides a comprehensive and compliant dataset licensing framework to developers, music and entertainment companies, and anyone else looking to train generative AI ethically. With more than one hundred years of copyright-cleared music in a wide range of genres, GCX is the only “clean” catalog with the robust metadata to support training of text-to-music and other AI models. For more information, go to www.gcx.co.