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Recently, Binance Labs, a venture capital arm of Binance, has increased its investment in the AI field, with investment director Max Coniglio publicly saying “AI and blockchain are a powerful combination.”
So, what is the attraction of AI+ blockchain?
The most critical point is that they can complement each other and overcome each other’s weaknesses.On the one hand, AI can improve the user experience of blockchain and enhance the decentralized system.On the other hand, blockchain can ensure the authenticity of AI data, promote collaboration in open source projects, and support AI computing needs.
At the same time, the AI track is also a hot topic in this cycle.Therefore, in this article, Biteye has included the AI projects invested by Binance Labs and the corresponding participation methods.
Project inventory
Note: The total financing is all disclosed financings
1. Sahara:AI network infrastructure helps AI assetization.The total financing is US$49 million, invested by Binance Labs, Pantera Capital and others.
2. MyShell:A decentralized AI Agent generation platform.The total financing is US$16.6 million, invested by Binance Labs, OKX, Dragonfly and others.
3. DIN:Modular AI native data preprocessing layer.The total financing is $8 million, invested by Binance Labs, HashKey Capital, etc.
4. Pentagon Games:Web3 artificial intelligence game publisher.The total financing is $6 million, invested by Binance Labs, Animoca Brands and others.
5. Privasea:AI privacy computing platform based on fully homomorphic encryption.The total financing is $5 million, invested by Binance Labs, OKX and others.
6. Swan Chain:L2 OP hyperchain specially designed for AI computing.The total financing is $3 million, invested by Binance Labs, SNZ Holding and others.
7. CoralApp:Launched Coral Phone, Binance’s first mobile phone project.The total financing is $3 million, invested by Binance Labs and others.
8. Aggregata:AI-based decentralized data market.The total financing has not been disclosed and is invested by Binance Labs, etc.
9. StarryNift:A gamified platform that integrates NFT creation and transactions.The total financing has not been disclosed and is invested by Binance Labs, OKX and others.
10. QnA3.AI:AI-powered Web3 knowledge sharing platform.The total financing is US$250 million, invested by Binance Labs and others.
11. NFPrompt:Privacy-centric, scalable Proof of Stake (PoS) Layer 1 smart contract platform.The total financing is US$45 million, invested by Binance Labs, a16z, Polychain and others.
12. Hooked Protocol:Integrates AI, metaverse and Web3 education.The total financing is US$8.5 million, invested by Binance Labs, Hongshan and others.
13. Arkham:Based on AI encryption analysis platform and data tracking board.The total financing is $2.5 million, invested by Binance Labs and others.
14. Sleepless AI:AI-based virtual companion game.The total financing has not been disclosed and is invested by Binance Labs, Foresight Ventures and others.
Prospect Analysis
Binance Labs’ investment in AI is aimed at promoting the integration of AI and blockchain technology, thereby promoting the development of decentralized applications (DApps).For example, by investing in decentralized platforms like Sahara AI and MyShell, use AI to improve the user experience of blockchain and ensure the authenticity and security of data.
The AI track has shown obvious development potential in the first half of 2024. With technological progress and growth in market demand, we look forward to further making efforts in the second half of the year.However, despite the optimistic outlook, the market still faces challenges.For example, the life cycle of AI applications is generally short and users’ willingness to pay is low, which may inhibit innovation and sustainable development.In addition, the overall market environment is also affected by factors such as regulation and liquidity, and future investment opportunities will depend on the market’s ability to respond to these challenges.
Therefore, while the AI track shows strong growth potential, these risks need to be carefully evaluated.For good projects, innovative technical foundations and sustainable business models are indispensable. Whoever can seize the opportunity will become the winner of the AI track in the future.
