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Investors Back AI-Driven Web3 Smartphone Revolution

Investors Back AI-Driven Web3 Smartphone Revolution

ainvest2025/08/27 23:39
By:Coin World

- MAGNE.AI secured $10M strategic funding led by Castrum Capital and DuckDAO to develop AI-native Web3 smartphones and blockchain infrastructure. - Funds will accelerate dual-chain architecture optimization, AI-integrated security chip production, and global market expansion for decentralized mobile infrastructure. - The project aims to address Web3 limitations in data security and scalability by merging hardware, blockchain, and AI for on-device decentralized computing. - Industry experts view this as par

MAGNE.AI, a U.S.-led technology company developing AI-native Web3 smartphones and decentralized infrastructure, has completed a $10 million strategic financing round. The funding was led by Castrum Capital, DuckDAO, TB Ventures, and Becker Ventures, according to multiple sources [1][2][3]. The capital will be used to accelerate the development of its L1+L2 dual-chain architecture and to advance the mass production and optimization of AI-integrated blockchain security chips. The company also plans to expand its global market presence and ecosystem development [3].

The project aims to build mobile-native infrastructure for the decentralized Internet and is positioned as the world’s first AI + Web3 native smartphone. MAGNE.AI is focused on combining hardware, blockchain, and artificial intelligence to create a new type of decentralized entry point for mobile users. This integration aims to address current limitations in data security, user privacy, and infrastructure scalability within the Web3 space [2].

The dual-chain development strategy is central to MAGNE.AI’s infrastructure vision, with an emphasis on optimizing both base-layer and second-layer solutions for mobile devices. This approach is intended to improve transaction efficiency, data processing, and user experience, particularly in environments where mobile connectivity and performance are critical [3]. The company’s roadmap includes refining its AI and blockchain fusion technologies to ensure secure, seamless, and high-performance operations on mobile platforms.

Industry experts highlight the significance of MAGNE.AI’s strategic investment in the broader context of Web3 adoption. The firm’s focus on mobile-first infrastructure aligns with growing interest in decentralized applications that prioritize user autonomy and on-device processing. As AI integration becomes more prevalent in blockchain use cases, MAGNE.AI’s development trajectory may serve as a model for similar projects aiming to bridge the gap between traditional mobile computing and decentralized technologies [2].

MAGNE.AI’s funding round reflects broader trends in the cryptocurrency and Web3 sectors, where institutional and venture capital investors are increasingly allocating resources to infrastructure projects. The involvement of firms like Castrum Capital and DuckDAO underscores a growing consensus that the next phase of blockchain innovation will be driven by scalable, user-centric infrastructure rather than speculative token models. This aligns with recent venture capital activity in areas like decentralized storage, cross-chain solutions, and secure computation [1].

The company’s roadmap includes not only technical development but also ecosystem expansion and market education. MAGNE.AI aims to build a robust developer and user community to support its platform, which is expected to play a pivotal role in the broader adoption of Web3 technologies. As the project progresses, continued investment and partnerships will likely be critical in achieving its vision of a decentralized mobile internet [3].

Source: [3] MAGNE.AI completes $10 million strategic financing (https://www.bitget.com/news/detail/12560604930773)

Investors Back AI-Driven Web3 Smartphone Revolution image 0
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Disclaimer: The content of this article solely reflects the author's opinion and does not represent the platform in any capacity. This article is not intended to serve as a reference for making investment decisions.

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