Deep Dive
1. Purpose & Value Proposition
AGT powers Alaya AI’s decentralized platform, which solves two core challenges in AI development:
- Data Accessibility: Connects individuals and enterprises with AI projects needing high-quality training data via a blockchain layer (Alaya AI).
- Incentivization: Uses $AGT staking to reward contributors for data labeling, model training, and community growth, while deterring low-quality submissions.
The platform uniquely supports custom token reward pools, allowing startups to pay contributors in their native tokens for specialized data tasks.
2. Technology & Architecture
Built on BNB Smart Chain, Alaya AI combines:
- Auto-Labeling AI Models: Automated data processing tools enhanced by community feedback.
- Tokenized AI Development: Stake $AGT in AI model pools to fund their training/fine-tuning, creating a circular economy where contributors directly influence model outcomes.
This structure merges decentralized data sourcing with Web3-native governance, bypassing traditional centralized data brokers.
3. Tokenomics & Ecosystem Mechanics
- Supply: Fixed 5 billion AGT, with ~1.87 billion circulating (Dec 2025).
- Redemption System: Users earn AIA points through tasks and redeem them for $AGT monthly (Season 6 details).
- Governance: Holders vote on platform upgrades, model funding priorities, and reward structures.
Conclusion
AGT is a dual-purpose token anchoring a decentralized bridge between AI development and distributed data communities. By gamifying contributions and letting projects design custom incentive pools, it reimagines how data fuels AI growth.
How might Alaya AI’s model balance open participation with preventing low-quality data submissions as it scales?