About
Learn why we are building Hybrid
AI in Web3 is Underutilized and Complex.
Developing sophisticated AI agents is challenging and resource-intensive, often requiring a full in-house AI/ML team, advanced tools, and significant expertise—creating high barriers for individuals and smaller organizations.
Users rely on multiple tools for on-chain research and market tracking in Web3. Making it inefficient to gather and analyze comprehensive data, and there is a lack of guidance for new users, hindering informed decision-making.
Solution
Developing sophisticated AI agents is challenging and resource-intensive, often requiring a full in-house AI/ML team, advanced tools, and significant expertise—creating high barriers for individuals and smaller organizations.
Users rely on multiple tools for on-chain research and market tracking in Web3. Making it inefficient to gather and analyze comprehensive data, and there is a lack of guidance for new users, hindering informed decision-making.
The Gateway to Simplified AI and Unified Web3 Tools
Hybrid’s MoE framework enhances the creation and monetization of AI agents, making sophisticated AI capabilities accessible without the need for a full AI/ML development team.
Atlas integrates on-chain data, Web3 news, and social sentiment into a single platform, streamlining research and market tracking.
This feature enables users to make smart contract calls on-chain seamlessly once they gain insights, facilitating more effective and actionable outcomes.