In 2025, Alaya AI (AGT) is gaining attention as a groundbreaking solution in the AI data ecosystem. Built on a Web3-native framework, it targets a major hurdle in artificial intelligence—access to scalable, high-quality data. By blending blockchain rewards, crowd participation, and automated labeling, Alaya ensures a seamless data supply pipeline.
This article breaks down how Alaya AI works and why it’s making waves across the AI and crypto communities.
Inside Alaya AI: Three-Layer System That Powers the Platform
1. Engagement Layer – Gamified Data Collection
Users join through web or mobile dApps to complete tasks like image uploads, video tagging, or audio transcription. In return, they earn $AGT tokens. This model drives ongoing user participation.
Gamification fuels constant user involvement.
2. Quality Layer – Smart Data Filtering
Alaya filters out low-quality data using advanced models such as Gaussian Approximation and Particle Swarm Optimization. High-performing users are prioritized for complex tasks.
3. Intelligence Layer – Feedback and Automation
This layer integrates reinforcement learning from human feedback (RLHF) and Human-in-the-Loop (HITL) systems. By learning from user input, Alaya increases automation accuracy, achieving over 80% validation across many formats.
Main Features of Alaya AI
Global Contributor Network
The system taps into a wide pool of contributors worldwide. Tasks are assigned based on skill, past performance, and trust scores. Contributors receive $AGT tokens, NFTs, and level-up points.
Decentralized Data Platform
Startups can create data pools using a peer-to-peer interface. These pools come with set quality standards and built-in rewards. The platform supports BSC, Polygon, and Optimism, and integrates easily via APIs.
Automatic Labeling Toolkit
Inspired by tools like OpenCV CVAT and Meta’s Segment Anything, Alaya offers a toolkit that simplifies labeling for visual, audio, and text data. It’s optimized for GPU-powered performance.
What Sets Alaya AI Apart

Staking-Based Model Funding
Users can stake $AGT in specific AI model pools to support development. In return, they earn from the model’s performance, giving everyone a chance to back future breakthroughs.
Privacy Through ZK Encryption
All user-contributed data is protected using zero-knowledge (ZK) encryption. This ensures privacy before any data is stored or used on-chain.
Gamified Rewards System
Alaya uses a double-token system ($AGT and $AIA), offering referral bonuses, daily missions, and unique NFT rewards. A burn-and-buyback model helps maintain long-ter token value.
AGT Token Use Cases and TGE Launch
Core Utilities
- Earn AGT by completing data tasks
- Stake tokens to unlock premium missions
- Vote in governance proposals
- Access exclusive data sets
TGE Launch on Binance Wallet
Alaya AI held its Token Generation Event on May 16, 2025, via Binance Wallet and PancakeSwap. Whitelisted users could buy AGT with BNB, with zero vesting restrictions.
Project Roadmap
Milestone | Timeline |
---|---|
MVB Season 8 | Q4 2024 |
TGE + Mainnet Beta | H1 2025 |
L2 Expansion (Optimism) | H2 2025 |
zk-ML Toolkit & DAO Governance | 2026 |
How Alaya AI Stacks Up Against Other Projects
Project | Similarity | Key Difference |
---|---|---|
Ocean Protocol | Tokenized data marketplace | Lacks gamified collection & auto-labeling |
Fetch.ai | Autonomous AI agents | No focus on crowdsourced data |
Bittensor (TAO) | Model training incentives | Not suited for dataset generation |
Final Thoughts: Why Alaya AI Deserves Attention
Alaya AI is redefining how AI data is gathered and refined in the Web3 age. By merging automation, user incentives, and encryption, it presents a scalable, privacy-first infrastructure for future AI development. The $AGT token has real utility, and the project’s roadmap suggests strong potential for growth and adoption.
As it expands to multiple chains and moves toward DAO-based governance, Alaya AI stands out as a key player in the decentralized data economy. Whether you’re an investor, a developer, or a contributor, it’s a project worth tracking closely.
Disclaimer: This article is for informational purposes only and does not constitute investment advice. Always do your own research (DYOR).