Deep Dive
1. Purpose & Value Proposition
Alaya AI aims to solve the critical need for high-quality, accessible data to train AI models. Its platform connects AI developers with a distributed global community that can provide and label data. AGT is the economic and governance layer of this ecosystem, designed to incentivize honest participation, fund AI development, and give the community a voice in the platform's future.
2. Tokenomics & Governance
AGT has a fixed total supply of 5 billion tokens. Its primary utilities are staking and governance. Users stake AGT to participate in the network, which helps deter malicious actors. Stakers also earn rewards and gain voting rights on key platform decisions. Furthermore, AGT is used in "AI model staking pools," allowing the community to directly fund the development and fine-tuning of specific AI models.
3. Ecosystem Fundamentals
The platform uses a dual NFT system to manage participation and expertise. Tradeable Alaya NFTs are required to join training tasks, while non-tradeable "Medallion NFTs" act as professional certifications for specialized work. This structure, combined with seasonal events and "Redemption" seasons, gamifies data contribution, driving high user engagement—the platform reported over 327,000 daily active users as of July 2025 (Alaya_AI).
Conclusion
Fundamentally, AGT is the coordinating mechanism for a decentralized marketplace where data contributors, AI developers, and model trainers meet, with its staking and governance functions ensuring the system remains robust and community-aligned. As the project evolves, how will its composable structure adapt to support new forms of AI data and model collaboration?