Human Native AI is a marketplace that connects AI developers with rights holders, allowing for the licensing of high-quality data sets while ensuring rights holders maintain control over their works. The platform facilitates fair compensation through subscription models and revenue sharing, addressing the challenge of responsible data acquisition in AI training.
Funding
$3.5M raised to dateRaised 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.
Founders
Product
Problem
AI developers face challenges in acquiring high-quality data sets for training their models, while rights holders struggle to maintain control over their works and receive fair compensation for their data's usage. This disconnect hinders responsible data acquisition and limits access to premium content for AI development.
Solution
Human Native AI provides a marketplace connecting AI developers with rights holders, enabling the licensing of high-quality data sets while ensuring rights holders retain granular control over their works. The platform facilitates fair compensation through subscription models and revenue sharing, addressing the need for responsible data acquisition in AI training. Rights holders can upload their catalogs, opt in or out of generative AI usages, and receive compensation for the licensing of their works. AI developers gain access to previously unavailable premium content, fairly compensate creators, and select works based on specific criteria.
Target Audience
The primary users are AI developers seeking high-quality data for training AI models and rights holders (publishers, film studios, record labels, production companies, and entertainment labels) looking to license their works and maintain control over their data.
Features
- Comprehensive catalog of rights holders and their works, facilitating discovery of high-quality data.
- Granular control for rights holders to manage which individual works are open or closed to AI training.
- Subscription and revenue-sharing models for fair compensation to rights holders.
- Data preparation services, including indexing, benchmarking, and evaluation of data sets to demonstrate quality and value.
- Tools for AI developers to negotiate exclusive access with creators.