Gaslab
Gaslab is a generative AI music platform that makes artists and rights-holders partial owners of AI-created music through clear attribution. The platform trains AI systems on artists' work with their consent, shares platform profits, and automatically detects and collects revenue from AI music usage across radio and streaming. Built initially on a single artist's lifetime of original recordings, it enables real-time AI performance alongside live stage shows.
- Artificial Intelligence
- Music Technology
- Creator / Creative Economy
- Media & Entertainment
- Software Only
Funding
Raised to date
$1MRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
across 1 round
Founders
Founder details are not available yet.
Product
Problem
Generative AI companies have scraped artists' recordings and copyrighted works from the internet without permission or compensation, threatening the livelihoods of the vast majority of musicians who already struggle to make ends meet. As AI-generated music improves, session musicians, writers, and vocalists face being pushed out of the industry entirely, potentially eroding the cultural foundation that inspires future creators.
Solution
Gaslab is a generative AI platform that makes artists and rights-holders partial owners of AI-created music through clear attribution. The platform trains AI systems on artists' work with their consent, shares platform profits with them, and automatically detects when AI outputs are used on radio, streaming, or other income-generating sources. It then collects the resulting revenue and distributes it fairly among the artists and rights-holders whose work contributed to the output, creating a sustainable cycle where creators stay motivated to keep producing new music that AI companies can use for fresh training data. The platform was built using original recordings from a single artist's lifetime of work, enabling real-time AI performance alongside live stage shows.
Target Audience
Primary users are recording artists, musicians, and rights-holders who want to license their work for AI training while retaining ownership and earning revenue, as well as GenAI music platforms seeking ethically-sourced training data and compliant output.
Features
- Artist ownership model that grants creators partial ownership rights over GenAI-created music based on clear attribution
- Revenue detection and distribution system that tracks AI music usage across radio, streaming, and other platforms, then automatically pays rights-holders
- Built on real single-artist AI training, using one artist's lifetime of original recordings to create a model that performs live back-to-back on stage
- Consent-based training approach requiring explicit artist opt-in, unlike the internet scraping used by other GenAI platforms
- Profit-sharing structure designed to sustain both creators and AI companies by maintaining a steady flow of new, ethically-sourced training data