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Binance Doubles Down on AI Investment – What Projects Are They Betting On?

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Binance Labs' investment in AI is aimed at advancing the integration of AI and blockchain technology to foster the development of decentralized applications (DApps).
Original Title: "Binance Bet! Is the Web3 + AI Track About to Explode?"
Original Author: Viee, Biteye Core Contributor


Recently, Binance's venture capital arm, Binance Labs, has increased its investment in the field of AI, with Managing Director Max Coniglio publicly stating that "AI and blockchain are a powerful combination."


So, what makes AI+Blockchain so attractive?


The key point is that they can complement each other, overcoming each other's weaknesses. On the one hand, AI can improve the user experience of blockchain and enhance decentralized systems. On the other hand, blockchain can ensure the authenticity of AI data, promote collaboration in open-source projects, and support AI's computing needs.


At the same time, the AI track is also a hot spot in this current cycle. Therefore, in this article, Biteye has compiled a list of AI projects invested in by Binance Labs and their corresponding participation methods.


01 Project List



Note: Total funding is all disclosed funding


1. Sahara: AI network infrastructure, empowering AI assetization. Total funding of $49 million, invested by Binance Labs, Pantera Capital, among others.


2. MyShell: Decentralized AI Agent generation platform. Total funding of $16.6 million, invested by Binance Labs, OKX, Dragonfly, among others.


3. DIN: Modular AI-native data preprocessing layer. Total funding of $8 million, invested by Binance Labs, HashKey Capital, among others.


4. Pentagon Games: Web3 artificial intelligence game publisher. Total funding of $6 million, invested by Binance Labs, Animoca Brands, among others.


5. Privasea: An AI privacy computing platform based on fully homomorphic encryption. Total funding of $5 million, backed by Binance Labs, OKX, and others.


6. Swan Chain: An L2 OP superchain designed for AI computing. Total funding of $3 million, backed by Binance Labs, SNZ Holding, and others.


7. CoralApp: Launched Coral Phone, Binance's first phone project. Total funding of $3 million, backed by Binance Labs and others.


8. Aggregata: A decentralized data marketplace based on AI. Total funding undisclosed, backed by Binance Labs and others.


9. StarryNift: A gamified platform integrating NFT creation and trading. Total funding undisclosed, backed by Binance Labs, OKX, and others.


10. QnA3.AI: An AI-driven Web3 knowledge-sharing platform. Total funding of $250 million, backed by Binance Labs and others.


11. NFPrompt: A privacy-centric, scalable Proof of Stake (PoS) Layer 1 smart contract platform. Total funding of $45 million, backed by Binance Labs, a16z, Polychain, and others.


12. Hooked Protocol: Integrating AI, Metaverse, and Web3 education. Total funding of $8.5 million, backed by Binance Labs, Hongshan, and others.


13. Arkham: An AI-based encrypted analytics platform and data tracking dashboard. Total funding of $2.5 million, backed by Binance Labs and others.


14. Sleepless AI: An AI-based virtual companion game. Total funding undisclosed, backed by Binance Labs, Foresight Ventures, and others.


02 Outlook Analysis


Binance Labs' investment in AI aims to advance the integration of AI and blockchain technology to promote the development of decentralized applications (DApps). For example, by investing in decentralized platforms like Sahara AI and MyShell, leveraging AI to enhance the user experience of blockchain and ensure data authenticity and security.


The AI track has shown significant potential for development in the first half of 2024, with expectations for further progress in the second half, driven by technological advancements and increasing market demand. However, despite the optimistic outlook, the market still faces challenges. For instance, AI applications generally have a short lifecycle, and user willingness to pay is low, which could hinder innovation and sustainable development. Furthermore, the overall market environment is also influenced by factors such as regulation and liquidity, and future investment opportunities will depend on the market's ability to address these challenges.


Therefore, while the AI track demonstrates strong growth potential, a careful assessment of these risks is still necessary. For promising projects, both innovative technological foundations and sustainable business models are indispensable. Those who seize the opportunity may become the future winners in the AI track.


Risk Warning: Cryptocurrency assets are highly risky. The above is for information sharing only and not investment advice.


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