Financing Project Unveiled: From User to Beneficiary, How Does HolmesAI Make AI Agent User Data Distributable and Financially Applicable?

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How to uncover the latest trends in Web3? Web3Caff Research will carefully select the latest publicly disclosed Web3 funding projects for you, and provide analysis and commentary. See beyond the surface—follow us now to sniff out market trends.

Author: Shirley Li , Researcher at Web3Caff Research

Cover: Typography by Web3Caff Research

Word count: Approximately 2400+ words in total

According to official disclosures, on December 15th, the decentralized AI Agent platform HolmesAI announced the completion of a $5 million strategic financing round, with participation from institutions including Bitrise Capital, CatcherVC, Cryptomeria Capital, Generative Ventures, and IBG Capital.

With the rapid development of AI technology, users have become accustomed to using different AI tools to solve problems. For example, they can obtain information through large language models such as ChatGPT and Deekseek, use content generators built on large language models to complete content publishing, or use the AI ​​functions embedded in the platform to improve the user experience. However, in reality, users will encounter some limitations in using these tools.

Taking the chat function of Large Language Models (LLM) as an example, the LLM used by the user is essentially a "finished product" trained by the platform based on massive amounts of data. Its knowledge base and answer logic are, to some extent, fixed. When users want it to adapt to their personalized needs, multiple rounds of communication are often required for it to remember their style and preferences. More importantly, the personalized style trained by a user in one LLM cannot be directly transferred to another. Whether it's an LLM or a platform with embedded AI functions, the user's usage traces belong to the platform and cannot be shared or reused across platforms.

Therefore, HolmesAI is attempting to address the issue of user data ownership in AI Agents by introducing decentralized concepts and mechanisms, and hopes to build an economic ecosystem based on assetization.

Funding Project Unveiled: From User to Beneficiary, How Does HolmesAI Make AI Agent User Data Distributable and Financially Applicable? - Web3Caff ResearchFunding Project Unveiled: From User to Beneficiary, How Does HolmesAI Make AI Agent User Data Distributable and Financially Applicable? - Web3Caff Research
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