NEW YORK, Dec. 11, 2025 (GLOBE NEWSWIRE) — Cysic, a decentralized compute protocol designed to generate zero-knowledge proofs at scale, has officially launched its mainnet and native token, $CYS. This launch signifies a pivotal moment in the development of blockchain infrastructure, addressing a significant bottleneck in scalability and introducing a new concept termed “ComputeFi.”
Zero-knowledge (ZK) networks are increasingly recognized as a promising future for web3 scalability, offering enhanced transaction finality and security compared to traditional optimistic rollups. However, the process of generating zkSNARKs remains both compute-intensive and costly, reliant on a limited number of specialized providers. This situation not only inflates transaction fees but also hampers adoption and heightens centralization risks at the infrastructure layer.
Cysic seeks to transform this landscape by decentralizing the prover layer. The Cysic Network connects provers and verifiers globally, facilitating a verifiable compute marketplace that encompasses a diverse range of devices, from mobile phones to professional computing operations. By leveraging custom zero-knowledge hardware and optimized software, Cysic offers scalable, trustless proof generation as a service.
During its rollout phase, the Cysic Network has achieved considerable traction, processing over 10 million ZK proofs across various live workloads. The testnet has onboarded 1.4 million unique wallets, while 260,000 nodes—including provers and compute operators—have joined the network worldwide. Additionally, Cysic has integrated with leading ZK ecosystems such as Scroll, Aleo, Succinct, and ETHProof, among others.
The introduction of the $CYS token fuels the network’s economy, serving multiple purposes including payment for proof generation, rewards for node operators, and staking within a new consensus model called Proof-of-Compute. In this model, participants’ influence is determined not only by their capital but also by the substantial computational work they contribute to the network.
Cysic characterizes this framework as the cornerstone of ComputeFi, envisioning a decentralized economy where verifiable compute functions as a programmable, on-chain resource. As decentralized finance (DeFi) has revolutionized access to financial infrastructure, ComputeFi aims to redefine high-value computing tasks, encompassing activities such as ZK proofs, AI inference, and scientific workloads.
“Ethereum scalability is only the beginning,” stated Leo Fan, founder of Cysic. “ComputeFi opens the door to a global, trustless compute layer — one that’s open, decentralized, and driven by real economic incentives.”
While the Ethereum ZK stack represents an initial application, Cysic’s infrastructure supports a broad spectrum of use cases. These include AI model verification, which allows smart contracts and agents to confirm that outputs originate from specific, authorized models, as well as decentralized scientific computing initiatives targeting verifiable workloads in fields like genomics, climate research, and cryptography. Furthermore, it enables the re-utilization of idle proof-of-work (PoW) infrastructure, allowing devices like the Dogebox1 to switch between mining and ZK proving according to market demand.
Together, these applications form the basis of the ComputeFi economy, wherein computation is viewed not merely as infrastructure but as a liquid, tokenized, and verifiable asset class. Cysic, which is backed by prominent investors including Polychain Capital, OKX Ventures, and HashKey Capital, is poised to establish a verifiable compute engine for Web3. By integrating custom ZK hardware, a decentralized node network, and a programmable economic layer, Cysic aims to convert computation into a trustless, on-chain resource, thereby laying the groundwork for the ComputeFi economy.
As Cysic continues to develop its offerings, the implications for various industries could be profound, potentially transforming how computational tasks are performed and verified in the digital landscape.
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