What is Alaya AI?

(Source:@Alaya_AI）

Alaya AI is an open and composable Web3 AI data infrastructure network, designed to connect decentralized data communities and open AI networks through blockchain technology and gamified design, and promote innovation in AI training and automated data processing.

Alaya AI’s design goal is to provide an open data access channel for personal and enterprise AI applications, supporting decentralized data crowdsourcing and direct P2P data requests. Its open and composable platform architecture allows AI projects to establish custom data reward pools and use platform tokens as payment to meet specific data needs. Through Alaya AI’s open data platform, the Web3 community can participate in data contribution and stake and develop AI models using $AGT tokens. The tokenization of AI models enables the community to support the growth of decentralized AI technology and raise funds through the $AGT staking pool to drive model development and optimization.

The technical architecture and core functions of Alaya AI

The technical architecture of Alaya AI is divided into the following key parts:

1. Decentralized Data Ecosystem
   Alaya AI uses a decentralized data sampling structure to connect data suppliers worldwide through an integrated Web3 data infrastructure. Data clients can submit data requests according to specific needs, and Alaya AI will automatically assign these tasks to suitable users for annotation and tagging.
2. Automated data preprocessing:
   Once the data collection is completed, the Alaya AI system will automatically preprocess the data, including data cleaning, deduplication, and privacy protection, and apply zero-knowledge encryption (ZK-encryption) to ensure data security.
3. Data Auto-labeling Tool:
   Alaya AI provides an exclusive toolset for automatic data annotation, which can maximize the efficiency of data annotation by leveraging human knowledge through the optimization mechanism of Reinforcement Learning Human Feedback (RLHF), while significantly reducing costs. The system can achieve a verification rate of over 80% and can instantly process static and dynamic visual data.
4. Open Data Platform:
   Alaya AI supports custom dataset bootstrapping, especially suitable for early-stage small AI developers, allowing them to obtain training data through Web3 native token rewards, reducing the high costs of traditional data markets.

Alaya AI’s NFT system

Alaya AI adopts a dual NFT design, divided into Alaya NFTs and Medallion NFTs.

• Alaya NFTs: Alaya NFTs are the basic identity markers for users on the platform, obtained for free upon registration, and allowing users to participate in data annotation, earn rewards, and participate in community activities.
• Medallion NFTs: Medallion NFTs are special NFTs designed for system labeling, user ranking, and task distribution. They cannot be traded and can only be unlocked and permanently bound to the wallet through personal achievements.

These NFTs can be upgraded by accumulating experience points and consuming $AGT. After upgrading, more advanced tasks will be unlocked, increasing the chances of rewards.

Tokenomics of Alaya AI

Alaya AI’s core motivation comes from its native token $AGT, which is not only a payment tool within the platform, but also the foundation of governance mechanisms, driving data annotation, ecosystem participation, and model development. The main uses of $AGT include:

• Data verification and annotation participation: Users need to stake $AGT to participate in data verification and annotation tasks, and receive corresponding rewards.
• Model development and training: AI developers can use $AGT as collateral to initiate AI model training tasks.
• Custom data request: Developers can set up custom reward pools to attract decentralized data providers to contribute data in specific fields using $AGT.
• DAO governance: $AGT holders can participate in community voting to determine the future development direction of the platform.

The staking mechanism of $AGT can also prevent malicious behavior, ensuring the correctness and credibility of the annotated data.

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Summary

Alaya AI’s vision is to redefine data-driven AI training mode through a decentralized data ecosystem, allowing global data suppliers to participate in the evolution and growth of AI models in a secure, transparent, and highly rewarding environment. Through innovative token economics, dual NFT system, and automatic labeling tools, Alaya AI opens a new chapter for Web3 data contribution and AI training, making decentralized data-driven a reality.