Trend Analysis of Popular Projects in the Crypto+AI Sector Recently

In the past month, the popular projects in the Crypto+AI sector have shown three significant trend changes:

1. The project's technical path is more pragmatic, focusing on performance data rather than pure conceptual packaging.
2. Vertical segmentation scenarios become the focus of expansion, and specialized AI starts to replace generalized AI.
3. Capital places more emphasis on the validation of business models, and projects with cash flow are clearly more favored.

Here are some introductions and analyses of typical projects:

1. Decentralized AI Model Evaluation Platform

The platform scores over 500 large models through human crowdsourcing, and user feedback can be exchanged for cash. It has attracted well-known AI companies to purchase data, creating actual cash flow.

Highlights: Leverage human subjective judgment advantages to address AI evaluation shortcomings, with a clear business model.

Challenge: The anti-fraud and anti-witch attack algorithms need continuous optimization.

Financing: Completed a $33 million seed round, led by a well-known venture capital firm.

2. Decentralized AI Computing Network

The project launched a browser extension and gained certain market recognition in the Solana DePIN field. The newly launched data transmission protocol and inference engine have made progress in edge computing and data verifiability, reducing latency by 40% and supporting access from heterogeneous devices.

Highlights: Aligns with the trend of AI localization "downward", showing potential in the field of edge computing.

Challenge: The efficiency of handling complex tasks still lags behind centralized platforms, and the stability of edge nodes needs improvement.

Financing: Completed a $10 million seed round, led jointly by two well-known crypto investment institutions.

3. Decentralized AI Data Infrastructure Platform

The platform incentivizes global users to contribute multi-domain data through tokens, covering areas such as healthcare, autonomous driving, and voice recognition. It has accumulated over $14 million in revenue and established a network of millions of data contributors.

Technical Features:

• Integrating ZK verification and BFT consensus algorithms to ensure data quality
• Use privacy computing technology to meet compliance requirements
• Launching EEG collection devices to expand the hardware field

Economic Model:

• Users can earn 16 dollars and 500,000 points for 10 hours of voice annotation.
• The cost of enterprise subscription data services can be reduced by 45%.

Advantages: Meet the real needs of AI data annotation, especially in the medical and autonomous driving fields where data quality and compliance requirements are high.

Challenge: The error rate of 20% is still higher than traditional platforms, and the quality of data needs continuous improvement.

4. Distributed Computing Network on Blockchain

The project aggregates idle GPU resources through dynamic sharding technology, supporting large language model inference, at a cost 40% lower than traditional cloud services.

Highlights:

• Tokenized data trading design, transforming computing power contributors into stakeholders
• Has advantages in scenarios like 3D rendering where real-time requirements are not high.

Challenge: The 15% cross-chain verification error rate is high, and technical stability needs improvement.

Financing: Completed $10.8 million in financing, led by an investment institution.

5. AI-driven Cryptocurrency High-Frequency Trading Platform

The platform utilizes MCP technology to dynamically optimize trading paths, reducing slippage and achieving a 30% increase in efficiency based on actual measurements.

Advantages: Fill the market demand in the DeFi quantitative trading field, aligning with the AgentFi trend.

Challenge:

• High-frequency trading has extremely high requirements for latency and accuracy, and the real-time synergy of AI prediction and on-chain execution needs to be validated.
• The risk of MEV attacks is high, and technical protective measures need to be strengthened.

Financing: Completed a $3.38 million seed round, led by a certain cryptocurrency exchange.