What is Alaya AI? Building a new ecosystem for Web3 artificial intelligence data.

The development of artificial intelligence relies on high-quality data, but traditional data labeling methods face issues such as high costs, low efficiency, and centralization. Alaya AI is building a decentralized AI data ecosystem by integrating Web3 technology and collective intelligence, reshaping the model of data production and usage.

AGT Token: The Governance Core of the Ecosystem

Alaya Governance Token (AGT) is the native governance token of the Alaya AI ecosystem, with a total issuance of 5 billion tokens. It not only serves as a medium of transaction within the ecosystem but also grants holders the right to participate in platform governance, including voting on protocol updates, validator policies, staking options, and fee structures.

As of September 1, 2025, according to data from Gate.io, the price of the AGT token shows a stable trend. The price of AGT is expected to fluctuate between $0.0280 and $0.0350 in 2025, with an average price of about $0.0315.

Technological Innovation: Three Core Modules Driving Development

The core advantages of Alaya AI are built on three innovative modules:

1. The distributed data ecosystem Alaya activates global data productivity through its token economic model, allowing users to participate in data labeling during fragmented time and earn AGT rewards. This model not only reduces enterprise costs but also enhances the breadth and representativeness of the dataset through diverse geographical and cultural backgrounds.
2. Open Data Platform (ODP) In response to the pain points of small and medium-sized developers, such as "difficulty in meeting customized demands and high cash flow pressure", the ODP platform allows AI companies to publish customized data requirements and incentivizes contributors through a combination of "project tokens + stablecoins", significantly lowering the threshold for data acquisition.
3. The AI automatic labeling toolset Alaya's automatic labeling system adopts a three-layer architecture: interaction layer, optimization layer, and intelligent modeling layer (IML), integrating Gaussian approximation and particle swarm optimization algorithms, with labeling efficiency 3 to 5 times higher than manual methods.

Market Performance and Industry Applications

The market performance of Alaya AI is remarkable. The platform's monthly order volume has exceeded $500,000, with annual revenue expected to surpass $6 million, demonstrating strong market demand for its services.

In terms of industry applications, Alaya has already achieved significant results:

• Autonomous driving field: Collaborating with autonomous driving companies to handle a large volume of image annotation work covering special scenarios such as rain, snow, nighttime, and tunnels, significantly reducing costs compared to traditional models.
• Medical Image Analysis: Using Zero-Knowledge Proof (ZKP) technology to achieve data desensitization of sensitive information, ensuring annotation quality while protecting patient privacy.
• Agricultural AI: The Southeast Asia Agricultural AI team uses its own tokens on the ODP platform to incentivize local farmers to participate in pest and disease image labeling, successfully building labeled datasets for various crops.

Future Outlook: Paradigm Shift from Big Data to Precision Data

Alaya AI is driving a paradigm shift from "big data" to "precision data". By leveraging collective intelligence to filter high-value data samples, the efficiency of training models is significantly improved, and energy consumption is greatly reduced.

With the development of multimodal large models, the demand for cross-domain and multidimensional labeled data is growing exponentially. Alaya AI's distributed network can quickly respond to such demands, supporting the collection and labeling of various data types such as text, images, and audio.

Investment Perspective: The Value Potential of AGT Token

From an investment perspective, the AGT token has long-term value potential. Forecast data shows that by 2030, the average price of AGT could reach $0.0975, with a peak price close to $0.1156.

This pricing expectation is based on the assumption that the Alaya network is expected to become a Decentralization data core infrastructure, and that the token will continue to play an important role in governance and incentive mechanisms.

Conclusion

Alaya AI, through the innovative combination of Web3 data sampling and AI automatic labeling, is building a new open and composable data ecosystem. As a core explorer of AI data infrastructure, Alaya not only lowers the development threshold for small and medium-sized teams but also achieves transparency in data privacy protection and value distribution through zero-knowledge proofs and NFT rights confirmation.

With the continuous development and improvement of the platform, Alaya AI is expected to become the "data grid" of the AI era, providing stable, compliant, and sustainable infrastructure services for AI model training through an open network and intelligent tools, promoting the human-machine collaboration ecosystem towards a fairer and more efficient future.