Our Natural Intelligence technology creates genuine cooperation between machines and humans. We enable regular people to teach fundamental skills to humanoid robots through video games.
Current Status
We created several proofs-of-concept scenarios that demonstrate that the technology is feasible. This means that an average human is able to teach skills to a machine, that is able to learn and adapt the learned skills to a different environment. We also developed an API that allows third-party organizations to make use of the technology and build on top of it. Our next milestone is to develop an NFT based videogame that enables the community to train virtual robots and make a living out of it. Currently, we are a pre-market, pre-revenue company.
Problem or Opportunity
Accessing the deep layers of the abilities of any robot, even just to perform a basic alteration of a simple movement or task, requires highly skilled software developers and other related experts. While a certain degree of adaptability can be achieved by existing machine learning algorithms, the ability to transfer from one function/task to a completely different one is very limited. This has been a heavy financial burden on customers, robotic companies, and the industry.
Solution (product or service)
Our core AI technology will provide a better approach to robotic intelligence through cooperative learning and intuitive interaction. Our technology enables everyday users who possess no programming skills to simply teach robots in a simulation setting. We aim to utilize the users’ native sensory-motor abilities and use that to train the humanoid robots of the future. The result is genuine cooperation between machines (AI) and humans. To attract a large number of people into a robotics development project, we will make it entertaining, through a unique video game.
Business model
In the videogame segment of the project, we are redefining e-sport, where real learned skills meet the virtual world. We can replicate the physical sports ecosystem with all the working business models: human coaches train, buy and sell virtual athletes that form sports clubs and participate in competitions live-streamed to fans who bet on the winner. This model results in multiple revenue streams, such as commission on buying/selling NFTs on first and secondary marketplaces, streaming fees, sports bets, sponsors, etc.
After collecting all the data we can sell it to robotics manufacturers.
