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About GAEA
GAEA is a decentralized AI ecosystem built on blockchain, focusing on emotional data collection and AI training. Its core business involves aggregating underutilized network resources—such as idle bandwidth and computing power—from global participants to create a distributed data layer. The platform introduces an "Emotional Coordinate" system, where users can record and upload daily emotional states. These data points are anonymized, processed, and used to train AI models, aiming to improve machines' understanding of human emotions and context.
The main market pain point GAEA addresses is the centralization of AI training data. Traditional AI development relies on large tech companies controlling data pipelines, raising concerns about privacy, data monopolies, and lack of user consent. GAEA decentralizes this process, allowing individuals to contribute data directly and receive rewards—such as SOUL Points—for their contributions. This creates a more transparent and participatory data economy.
In the past six months (March to September 2026), GAEA has made notable progress. The platform underwent a comprehensive UI overhaul to improve user experience. It also introduced wallet address management, including support for Solana addresses, enhancing multi-chain accessibility. The points earning system was updated: instead of direct referral bonuses, users now earn 20% of their invited friends' idle points, encouraging more meaningful social interactions. The Emotional Coordinate feature is being developed as a core component, with plans to integrate personalized feedback and rewards based on users' emotional data. These updates indicate a shift from conceptual development to a more testable and user-centric system, though detailed technical metrics or adoption numbers have not been publicly disclosed.
GAEA was established in 2024 as a decentralized AI training network integrating human emotional data. On May 27, 2025, it completed a $5 million Series A round led by SANYUAN Capital and Artemis Capital, marking early institutional validation. Later, it secured $10 million in strategic funding from Cryptogram Venture, K24 Ventures, and AvatarDAO, accelerating global deployment and the development of its 'Godmaking Plan'. In Q4 2025, GAEA released its token economic model with a total supply of 1 billion GAEA tokens, introducing a deflationary mechanism and scientific allocation system. The Godmaking Plan aims to let humans contribute emotional data for AI training, positioning GAEA as a pioneer in human-AI co-evolution.
GAEA (aigaea.net), a decentralized AI ecosystem, has advanced significantly in H1 2026. In May, the Psyche v1.2.0 firmware upgrade boosted EDA sensor sampling to 25Hz, cut inference latency by 22.5%, and improved emotion recognition accuracy by 14.8%, enhancing the "Digital Soul" experience. In July, GAEA published its tokenomics: total supply of 1 billion GAEA, with 30% for ecosystem, 20% for backers, 14% each for community and core contributors, 12% for liquidity, 5% each for team and marketing; a deflationary burn mechanism and DAO governance were confirmed. In August, GAEA partnered with GAT Bank (Labuan-regulated) to launch a Visa-enabled payment card, bridging AI rewards and crypto to real-world spending. Future focus: expanding the node network globally, deepening emotional AI models for mental health and AI companions, and building the "Emotional Economy" through Soul Points and certification. Roadmap includes rolling out Emotion Coordinates, growing device compatibility, and enabling on-chain training with privacy-preserving ZK-proofs.
GAEA is a decentralized AI training network that integrates human emotional data. Based on the provided information, the core team members are as follows:
Stephen (Co-Founder) Stephen is a co-founder of GAEA. No detailed public resume information was provided in the search results.
Eric Cai (Co-Founder & CTO) Eric is a co-founder and the Chief Technology Officer of GAEA. He previously served as Head of AI and Data Science at Binance (2021-2024). Before that, he held senior roles at PayPal (Director of Engineering, Applied Science), Apple (Data Science Lead), and Autodesk (Lead Data Scientist). His career also includes positions at Shell and BP as a Data Scientist Geophysicist, and research work at Lawrence Berkeley National Laboratory and MBARI. Eric holds a PhD from UC Berkeley and an Executive MBA from The Wharton School.
Recent team changes at GAEA: Co-founder Stephen departed in August 2026. He joined in July 2024 as Co-founder.