The ethically-trained generative AI music platform introduces a new standard for copyright compliance in text-to-music generation.

With over 40 fully-licensed catalogs in its initial training set, Jen adheres to a strict training doctrine that emphasizes its commitment to transparency, compensation and copyright identification. Jen's prompt-based flow simplifies the creative process, while also providing assurance that all outputs respect both artists and industry copyright standards.

"We have reached a defining moment for the future of the music industry. To ensure artistry maintains the value it deserves, we must commit to honor the creativity and copyrights of the past, while embracing the tools that will shape the next generation of music creation," said Jen Co-Founder and seasoned music tech entrepreneur Shara Senderoff. "Jen empowers creators with tools that enhance their creative process. Jen is a collaborator; a friend in the studio that works with you to ideate and iterate. As we bring Jen to market, we are partnering with music rights holders and aligning with the industry at large to deliver what we believe is the most ethical approach to generative AI."

Jen's best-in-class technology, powered Futureverse, has been developed by its team of distinguished PhDs and scientists whose work on Jen's published research papers have been acknowledged by prestigious journals and cited by Meta's AI Lab, Meta FAIR, Sony AI and Bytedance AI; a true testament to their deeply architected music research approach.

From novices with a song in their hearts to professional producers, Jen empowers creators to bring their musical visions to life and push the boundaries of creativity. Featuring proprietary, high-fidelity, waveform-based diffusion models that leverage a unique neural network architecture, Jen offers sophisticated music generation capabilities in high-quality stereo audio. A pioneer in the field of AI music with multiple patents pending, Jen is the first generative music platform to complete waveform-based latent diffusion with multiple tasks, including generation, continuation, and inpainting.

Built on Root

Jen's rigorous compliance process sets it apart from the pack. Using The Root Network in unique ways, every track is automatically vetted for audio recognition and copyright identification utilizing a database of 150M tracks. This includes both the compositions in the training set and every newly generated track on the platform.

Jen then generates an on-chain record on The Root Network for each generated track, ensuring the integrity and timestamp of each track's creation, proving it was generated by Jen and by the unique FuturePass account, leveraging XLS-20 NFTs, to track and protect IP rights. Verified song outputs receive a JENUINE™ indicator upon generation.

Jen also introduces R3CORD™, you “record” tracks to The Root Network as cross-chain compatible NFTs enabling on-chain trading (coming soon).

In tandem with today's alpha launch, the Jen research team publishes its third research paper: JEN-1 DREAMSTYLER: CUSTOMIZED MUSICAL CONCEPT LEARNING VIA PIVOTAL PARAMETERS TUNING. This paper details Jen's upcoming StyleFilter™ technology, which allows users to upload a unique instrument, genre, or track to create what's labeled as a StyleFilter, that styles a new masterpiece with the desired sound.

Start using Jen [Alpha] today and enjoy free credits to get started, additional credits can be purchased using credit card or $ROOT, $XRP and other crypto currencies on The Root Network.