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  • What does your company do?
    We allow you to buy that top-of-the-line natural language processing technology that your company always wanted rather than building it yourself. You don’t need a team of AI experts to use AI to your advantage — just buy the software on our marketplace. We provide an efficiency boost to the market as a whole by making AI accessible and usable for numerous various-sized businesses.
  • Where will your company be in 5 years?
    We hope to abstract beyond the technical expertise needed to implement AI and allow companies with no technical knowledge to tap into the benefits of this wonderful technology. Our goal is to get rid of an oligopolistic system where a few large tech companies hold a strong majority of the AI industry, and we hope to be significantly closer to this vision in five years.
  • Why did you choose this idea?
    We would like to lay a foundation for the creation of Artificial General Intelligence and smash the current oligopolistic system of a few large companies basically owning all the AI.
  • How do you make money?
    We will provide the protocol that allows people to make transactions on the platform, and we plan to take a small percentage of the transaction value. Our revenue forecasts are based on a transaction fee of 30%, which is likely to be the final value we will charge. This charge is very low if we compare it with how much money you would spend in marketing to get the same transaction volume you are getting on GenesisAI.
  • Can you make an example of AI interoperability (when you say that simple AI services can be combined to perform more complex services?
    Say Node A (a hotel) pays Node B to get a summary of customer behavior depending on different variables and recommendations to increase the customer base. Node B can pay Node C for a service that uses pattern recognition to recognize the hotel's customer behavior and customer pain points. After receiving the output from Node C, Node B can use the input from Node C to come up with promotions that address the main pain points.
  • How do you solve privacy issue (companies not wanting to send sensitive data)?
    Data will be encrypted in a way that machine learning code developers can still use it to train their codes without accessing sensitive information. No sensitive information will be shared with developers.
  • How will you use the capital you raise?
    Our top priority is to build a robust technology. The team plans to scale the platform as we expect the number of customers to quickly rise, requiring us to invest in scalable IT infrastructure. Our second priority is dealing with sales & marketing and spending all the resources that are necessary to find the best AI services, data providers, and clients.
  • When do you expect to generate revenues?
    Right now, we are not trying to generate revenue, but we are quickly reaching our monthly product development goals to build something that works and gets people to believe in the platform. We are doing a great job in generating pre-registrations for companies that believe in our platform and will join at the time of the launch. Our detailed revenue forecast until 2025 can be found in our slide deck (attached), though projections are not guaranteed.
  • What is Artificial Intelligence?
    In simple words, Artificial Intelligence is an area of computer science that tries to simulate human behavior in a machine. This concept is revolutionary because it starts from the assumption that a well-functioning AI code won’t need any human direction. For example, if we run a big amount of online data to generate a market research on a particular industry, we won’t have to tell the code which trends to analyze, but the code will recognize the trends for us.
  • What problem does GenesisAI solve?
    There is no communication between AIs; there is no way for AIs to exchange data, trade services, learn from each other, or expand their own capabilities. We match unused resources (in-house developed AIs and open-source Github AI code) with companies in need of these resources. The connector of these two parties will unlock trillions of dollars in market value.
  • Why your team is uniquely qualified to solve this problem?
    Our team has the right mix of what it takes to solve this problem: Founders – Founders studied at Harvard, and have work experience in the AI industry and in companies like Bridgewater. Advisors – 2 multi-billion-dollar exits, former Dean of MIT Engineering, $310M exit, MIT AI/ML professor, 2 Harvard computer science professors, 2 Harvard Business School professors.
  • What is the difference between AI and beneficial Artificial General Intelligence (AGI)?
    Artificial General Intelligence is the final goal of everyone that works in the AI space. Narrow Artificial Intelligence is a code that performs a certain task, like image or speech recognition, which are two tasks typical of the human brain. AGI would come from the combination of all these narrow tasks, with the ultimate goal of creating a mastermind (the AGI) that is able to perform any task that our brain is able to perform (and more).
  • Why would companies not buy services directly from sellers’ website? Why do they need us?
    By using our services, we expect companies will have access to a number of services that are currently out of their reach for network reasons, geographic reasons, or other reasons. When they access the marketplace, they can search for the service they want, and our system is designed to couple them with some existing provider, similar to how Uber matches drivers and riders. This system prevents companies from skipping us, because we plan to couple them with the service provider, and we anticipate they will rely on our platform to evaluate service quality and choose the most appropriate service from a numerous set of services.
  • How do you guarantee liquidity to equity investors?
    We anticipate our first years of operations will focus on organic growth, revenue stabilization, and achieving breakeven. When these goals are achieved, we hope to start thinking about liquidity events that may be able to give investors the opportunity, if they want, to generate sizable returns (but cannot guarantee that).