Human Native AI: Bridging the Gap in AI Training Licensing Deals

Human Native AI, a London-based startup, is transforming the AI landscape with its innovative marketplace for AI training licensing deals. This platform connects companies developing large language models with rights holders willing to license their data, ensuring accurate training and fair compensation.

CEO James Smith, inspired by his experience at Google’s DeepMind project, recognized the need for a marketplace to facilitate these deals. Human Native AI enables rights holders to upload content, connect with AI companies, and negotiate revenue share or subscription deals. The platform also assists with content preparation, pricing, and copyright infringement monitoring.

With a £2.8 million seed round led by LocalGlobe and Mercuri, Human Native AI is poised to expand its team and meet the growing demand from both sides. The company’s goal is to provide a missing infrastructure piece in the AI industry, making it easier for rights holders to work with AI companies while maintaining control and compensation.

Human Native AI’s potential extends beyond large AI players, offering smaller systems access to data and leveling the playing field. The platform’s data collection also has future potential for providing rights holders with pricing guidance based on deal history.

As AI regulation evolves, Human Native AI’s focus on ethical data sourcing will become increasingly important. Smith emphasizes the need for responsible AI development, ensuring that industries are not decimated and human society benefits. With its innovative approach, Human Native AI is paving the way for a more sustainable AI future.