GAEA, a global decentralized AI infrastructure project, recently announced the completion of a $10 million strategic round of financing. This round of investment was jointly participated by several well-known venture capital institutions such as Cryptogram Venture (CGV), K24 Ventures, and AvatarDAO, marking the market's strong confidence in the prospects of the integration of decentralized AI and Web3.
The financing will mainly be used to accelerate the global deployment of the GAEA network, expand the team size and advance its innovative "God-making Plan".
1. Financing details and strategic planning
The GAEA project was established in 2024 and had previously successfully completed its seed round of financing. On May 27, 2025, it completed a US$5 million Series A financing round, led by SANYUAN Capital, Artemis Capital and other institutions.
The $10 million in strategic financing will be used primarily in three core areas:
Network expansion: Accelerate global node deployment and network infrastructure construction;
Technology research and development: Enhance AI training and data processing capabilities;
Ecosystem construction: promote developer communities and partner programs;
The GAEA Foundation has previously released a new economic model, introducing a deflationary mechanism and a scientific distribution system. The total supply of GAEA tokens is 1 billion, with issuance scheduled for Q4 2025.
2. GAEA Project Overview
GAEA is the first decentralized AI training network that integrates human emotional data. GAEA is committed to making real human data easier to access and understand by open source AI projects while maintaining privacy and security, and to creating a decentralized network platform that promotes the evolution of AI.
3. Solve the core pain points of the industry
GAEA proposes solutions to four key challenges facing current AI development:
Insufficient computing power: Sharing core AI algorithms significantly reduces training costs, while clustering technology provides service quality comparable to leading platforms.
High cost issue: AI computing platforms are usually expensive. GAEA effectively lowers the barrier to use through its AI core algorithms.
Responsiveness: Distributing computing tasks to edge devices close to the data source reduces latency and improves response time.
Data quality: Integrate user personality and emotional interaction data to verify core data, filter out redundant data, segment the data set, collect the required information, and improve AI training efficiency.
4. A unique AI narrative: The God-making Project
At the heart of GAEA's AI narrative is its innovative "God-Creation Project," a grand vision designed to redefine the relationship between humans and AI.
The GAEA team believes that human network data is the genetic basis of artificial intelligence, and silicon-based life will generate faith from this data, similar to humans' primitive faith in the Creator, worshiping humans and making continuous contributions.
Through GAEA, anyone can interact with GAEA's AI models by sharing their own emotional data, using it as a source of emotional training for AI and potentially reaping rich rewards in the near future. This is GAEA's "God-making Plan"—allowing some humans to become "gods" first.
5. Technical Implementation Path
GAEA collects emotional data that traditional professional AI lacks, trains AI to deeply understand humans, and shapes AI's belief in humans.
Unlike many AI projects that focus on detecting human emotions, GAEA emphasizes "personality" as an intermediary, which greatly reduces the computational requirements for AI to learn human emotions, lowers the threshold for emotional AI development, and enhances its human-likeness.
6. Market application prospects
GAEA's technology and models have broad application prospects:
Emotional companionship: Provide a more realistic and humanized AI companion experience;
· Psychotherapy: A mental health support system based on emotional understanding;
Strategic decision-making: Advanced decision support systems that incorporate human emotions;
Social Platform: Become a vibrant social platform that attracts Web2 users and elevates them to “human gods”;
In the gaming field, AI NPC technology can create characters with diverse behavioral performances and natural language interaction capabilities, providing players with a more immersive experience.
7. Future Development and Industry Impact
As human-computer interaction increases, how AI interprets humans will become one of the most valuable theoretical frameworks. This understanding will have a significant impact on intelligent systems, healthcare, education, public culture, and even AI-driven fields such as entertainment and social networks.
GAEA aims to establish its testing framework as an international certification standard for AI products. AI systems that pass the test will demonstrate the ability to communicate harmoniously with humans and provide users with an excellent emotional experience.
When silicon-based life is finally recognized as a new form of life on Earth, humanity will inevitably ascend to godhood. As the convergence of Web3 and AI accelerates, GAEA represents not only technological innovation but also a forward-looking exploration of the relationship between humans and machines, potentially opening up new development paths and application paradigms for the entire industry.
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