Market Landscape

Web3 Projects Focus on Compute Decentralization but Lack a Complete DeAI Ecosystem

While some Web3 projects have introduced decentralized compute solutions (e.g., Aethir, IO, Render Network), they primarily address the issue of compute decentralization. However, challenges such as data decentralization, open AI models, and support for decentralized AI applications remain largely unsolved.

Key issues in the current Web3 AI ecosystem include:

• Lack of a complete DeAI infrastructure—Existing platforms focus solely on distributed compute power without a full-fledged DeAI developer ecosystem.

• Insufficient decentralization in data storage and access—AI training data is still stored on centralized servers, lacking robust privacy protection mechanisms.

• High barriers to AI application development—Most existing Web3 solutions focus on low-level infrastructure, lacking user-friendly development tools, making it difficult for developers to enter the DeAI space.

HolmesAI aims to go beyond compute decentralization by leveraging open-source models like DeepSeek to build a fully decentralized AI ecosystem, addressing the limitations of Web2 AI and enabling developers to build AI applications more efficiently, fostering long-term AI growth.