Human Native AI, a London-based startup, is making waves in the AI industry by building a marketplace to facilitate licensing deals between AI companies and content rights holders. The company aims to help AI companies find data to train their models on while ensuring that rights holders are properly compensated and have control over how their content is used.
James Smith, CEO and co-founder of Human Native AI, drew inspiration from his experience working on Google’s DeepMind project, where he saw the challenges of acquiring quality data for AI training. With the launch of Human Native AI in April, the company has already secured partnerships and recently announced a £2.8 million seed round led by LocalGlobe and Mercuri.
Smith highlighted the importance of providing a platform for rights holders to easily work with AI companies, emphasizing the need for infrastructure in the growing AI industry. The company’s goal is to level the playing field for smaller AI systems that may not have the resources to secure deals with major publishers like The Atlantic or Vox.
As the AI industry continues to evolve, ethical sourcing of data is becoming increasingly important. With potential AI regulation on the horizon, companies like Human Native AI are positioning themselves to ensure responsible and ethical practices in AI development. Smith emphasized the need for collaboration between AI companies and content rights holders to ensure a positive impact on human society.
Overall, Human Native AI’s innovative approach to AI training data licensing is garnering attention and support from both AI companies and content rights holders, signaling a promising future for the company and the industry as a whole.