Gavin Wood Backs Acurast's Smartphone-Powered Decentralized Computing Revolution

Generated by AI AgentCoin WorldReviewed byAInvest News Editorial Team
Thursday, Nov 13, 2025 10:20 am ET1min read
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- Acurast, a smartphone-based decentralized computing project, secured $11M in funding led by

co-founder Gavin Wood and others.

- The platform launched its mainnet on November 17, aiming to transform 150,000 smartphones into secure compute nodes for confidential tasks.

- By leveraging hardware-backed security and eliminating intermediaries, Acurast challenges traditional data centers while addressing privacy and environmental concerns.

- Despite scalability challenges, the project's 494 million processed transactions and high-profile investor backing signal growing confidence in decentralized infrastructure.

Acurast, a decentralized confidential computing project leveraging smartphones, has raised $11 million in a funding round led by

co-founder Gavin Wood, MN Capital's Michael van de Poppe, and GlueNet's Ogle, among others . The project, which aims to transform consumer smartphones into secure compute nodes, announced its mainnet launch on November 17 and plans to introduce its native token, ACU, simultaneously . This development marks a significant step in the decentralized processing space, positioning smartphones as a viable alternative to traditional data centers for confidential computing tasks.

Acurast's model hinges on the premise that billions of smartphones are "the most battle-tested hardware on earth," according to founder Alessandro De Carli. By enabling verifiable, confidential compute on consumer devices, the project seeks to reduce costs and eliminate intermediaries in data processing.

The network explorer currently reports nearly 150,000 smartphones integrated into the network, which have processed over 494 million transactions and deployed nearly 94,200 services . De Carli emphasized the platform's ability to offer "secure, trustless computation to anyone, anywhere," without relying on centralized infrastructure .

The security framework underpinning Acurast's approach involves hardware-backed key pairs and attestation protocols to ensure tamper-resistant execution. While the project's developers acknowledge challenges in maintaining confidentiality on third-party hardware, they argue that their implementation mitigates risks through rigorous software verification checks. These measures, De Carli noted, are akin to those used by banking apps to prevent unauthorized access, though Acurast's setup is tailored to the unique constraints of mobile devices

.

The funding round underscores growing interest in decentralized computing, a sector poised to democratize access to AI and other resource-intensive applications. Acurast's approach aligns with broader trends in distributed ledger technology (DLT), where edge devices are increasingly leveraged for computational tasks. By repurposing smartphones—a ubiquitous yet underutilized resource—the project aims to lower barriers to secure computation while addressing environmental concerns tied to energy-hungry data centers.

Despite skepticism around the feasibility of executing confidential computing on consumer-grade hardware, Acurast's early traction suggests a viable path. The network's existing user base and transaction volume demonstrate proof of concept, though scalability and long-term security remain critical tests. Investors like Wood, a prominent figure in blockchain innovation, likely see potential in Acurast's novel approach to hardware democratization and decentralized infrastructure.

As the mainnet launch approaches, Acurast faces the challenge of maintaining technical robustness while expanding its user base. The project's success could reshape how industries approach data privacy and computational resource allocation, particularly in sectors where trustless execution is paramount. For now, the $11 million raise and the backing of high-profile investors signal strong confidence in Acurast's vision to turn smartphones into the backbone of a decentralized computing ecosystem.