The Web3 Search Trailblazers: Inside Kaito's Quest to Democratize Information with AI

At REDeFiNE TOMORROW 2024, a session not to be missed featured Yu Hu, CEO & Co-founder of Kaito AI, in conversation with Pailin Vichakul, COO & Partner of Venture Capital at SCB10X. They discussed Kaito AI's mission to make Web3 data more accessible through AI. Let's dive into the key takeaways from this insightful discussion.

Kaito AI: Making Web3 Data Accessible

• Kaito AI is a newly launched AI-powered search engine that has already offered services for over 200 institutional clients, including top investment firms, exchanges and prominent projects like the Ethereum Foundation, Polygon and Eigenlayer.
  
  
• Their goal is to facilitate access to Web3 information by building a search engine that utilizes large language models (LLMs). This enables users to efficiently find relevant information from diverse sources across the Web3 landscape.

Kaito AI's Products and Services

• Institutional Search Engine: Kaito's comprehensive search engine aggregates data from social media platforms, crypto news forums, project documentation and more. Users can easily search for information on tokens, projects of interest, and market trends.
  
  
• Analytics Layer: Built on top of the search engine, this tool offers features like token popularity metrics, trend analysis and smart contract tracking. These insights help users to assess risks, make informed investment decisions, and monitor project performance with ease.
  
  
• Consumer Product: Kaito AI is developing a consumer product built on a decentralized architecture. This product will allow users to compile information and create personalized dashboards for a seamless Web3 experience.

Key Innovations of Kaito AI

• Dynamic Social Graph: Kaito's system helps users find relevant information and avoid misinformation by filtering out irrelevant content and scams. This ensures that users encounter reliable and useful data.
  
  
• Speech-to-Text Model for Web3: This model allows for the analysis and transcription of audio and video content, such as podcasts and conferences. It makes it easier to search through hundreds of hours of content.
  
  
• Large Language Models (LLMs): Used for enhancing search, data labeling, and summarization (e.g., Kaito AI's "Overheard on CT" Telegram channel), LLMs enable Kaito AI to understand the context of information and present relevant and valuable results to users.
  
  

AI-Enhanced User Experience in Web3

Using AI to customize user experiences has the potential to be a significant advantage for crypto applications, making them user-friendly and competitive with traditional Web2 applications. This is evident in the positive reception of recent decentralized applications (dApps) with excellent UX.

The Future of Kaito AI

Kaito AI is committed to further developing its platform and expanding access to Web3 data. Their ultimate goal is to create a decentralized information ecosystem where all users can easily access high-quality information.

Summary

Kaito AI is pioneering the use of AI to improve access to Web3 data. With its cutting-edge platform, it has the potential to transform how we interact with information in the Web3 world for the better.

Watch this on Youtube: https://youtu.be/tHCTJeuAc_c?si=C3XfsnGVm0UErhwS