GenesisAI
When AI Tools Talk to Each Other, Anything is Possible
Archil Cheishvili, CEOIn an interview with CIOApplications, Archil Cheishvili, CEO of GenesisAI, tells how their platform is revolutionizing the way AI tools can be made to work cooperatively.
Can you give our readers a background of GenesisAI?
When I was working on my previous AI startup, I found that there is little to no connectivity among various AI tools that exist today. The main reason is a lack of communication standards and protocols that can specify how the devices interact.
We decided to solve this problem by creating a web platform that can define tools to communicate and exchange data. The platform thus enables AI tools to work together and allow companies to buy and sell AI products. Additionally, our goal is to connect suppliers to each other so that their function accuracy rates also increase along with increasing the functionality of their AI devices.
Could you give us an understanding of the significant challenges and pain points that you address for your clients?
We are connecting two sides. On the supplier side, we have companies that provide AI devices, and on the customer side we have retail investors who use the products.
The supply side's biggest problem is monetizing AI solutions, while also increasing their functionality and accuracy rate by connecting them with other AI tools. We offer the technology to improve the quality of their devices. We also increase their mean revenue sources by bringing them more users for their tools.
On the buyer side, we provide off-the-shelf, ready-to-go AI-powered products and services which demand little to no prior computer science knowledge to derive insights from complex, unstructured data. Our tool also provides companies with a better understanding of specific stocks, enabling them to gain insights from negatively correlated assets before making any investments.
Talking about the solution, can you tell our readers about its unique machine learning protocol and associated benefits?
While developing the platform, we found that companies are just recreating what has been done thousands of times before. For example, there are hundreds of speech recognition and natural language processing tools available on the market today. Even if one company recreates the tools originally made for another enterprise, there is no communication between the different AI tools. Therefore, a paradox arises, wherein the AI tools designed for gathering and learning from data, miss out on the most significant learning opportunity to learn from each other.
Our protocol connects a bunch of if-then statements that specify how these AI tools work together. We train on various machine learning frameworks to enable different AI tools interact with each otherseamlessly. That’s where the constitution in our protocol is observed.
As a result, we can specify how two AI tools can work together. For example, one can tell a speech recognition tool to receive a file in the mp3 format, which needs to be transcribed from speech-to-text. The protocol can then tell the translation device (combined with the tool) to translate the text to French. This is how we can connect the two tools with each other. If you can imagine how much more this can be scaled-up, you can develop hundreds of thousands of AI tools that potentially work together.
This is our vision—to lay the foundation for creating general intelligence, where millions of AI tools interact with each other as a whole and have broad ranging capabilities.
What does the next 12-18 months look like for GenesisAI? Is there a particular road map?
Our goal is to deploy a lot more AI models on our platform. Potentially we will deploy hundreds of AI tools on our platform with different models interacting with each other. The completepurpose of our goal is to enable clients to finish their infrastructure for seamless connectivity amongst the AI tools, to lay the foundation for more sophisticated and better models, such as self-driving cars.
On the business side, our objective is to maximize our earnings from people who use theGenesisAIplatform, since many companies can't wait for this kind of solution. Also, though we have a number of talents contributing in the upgradation of our platform, we continually need more and more AI partners and Ph.Ds in computer science, who can utilize their talent and deploy more AI tools. So we will look forward to work in that direction as well.
Talking about the solution, can you tell our readers about its unique machine learning protocol and associated benefits?
While developing the platform, we found that companies are just recreating what has been done thousands of times before. For example, there are hundreds of speech recognition and natural language processing tools available on the market today. Even if one company recreates the tools originally made for another enterprise, there is no communication between the different AI tools. Therefore, a paradox arises, wherein the AI tools designed for gathering and learning from data, miss out on the most significant learning opportunity to learn from each other.
Our vision to potentially lay the foundation for creation of general intelligence, where you can have millions of AI tools interact with each other as a whole and thereby do pretty much anything that’s imaginable
Our protocol connects a bunch of if-then statements that specify how these AI tools work together. We train on various machine learning frameworks to enable different AI tools interact with each otherseamlessly. That’s where the constitution in our protocol is observed.
As a result, we can specify how two AI tools can work together. For example, one can tell a speech recognition tool to receive a file in the mp3 format, which needs to be transcribed from speech-to-text. The protocol can then tell the translation device (combined with the tool) to translate the text to French. This is how we can connect the two tools with each other. If you can imagine how much more this can be scaled-up, you can develop hundreds of thousands of AI tools that potentially work together.
This is our vision—to lay the foundation for creating general intelligence, where millions of AI tools interact with each other as a whole and have broad ranging capabilities.
What does the next 12-18 months look like for GenesisAI? Is there a particular road map?
Our goal is to deploy a lot more AI models on our platform. Potentially we will deploy hundreds of AI tools on our platform with different models interacting with each other. The completepurpose of our goal is to enable clients to finish their infrastructure for seamless connectivity amongst the AI tools, to lay the foundation for more sophisticated and better models, such as self-driving cars.
On the business side, our objective is to maximize our earnings from people who use theGenesisAIplatform, since many companies can't wait for this kind of solution. Also, though we have a number of talents contributing in the upgradation of our platform, we continually need more and more AI partners and Ph.Ds in computer science, who can utilize their talent and deploy more AI tools. So we will look forward to work in that direction as well.
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