By Chainwire
4 min read
Trenton, New Jersey, United States, December 22nd, 2025, Chainwire
Inference Labs, the developer of a verifiable AI stack, and Cysic, a provider of decentralized compute and zero-knowledge (ZK) hardware, have formally announced a strategic partnership to enable scalable, cost-efficient verifiable AI applications. The collaboration combines decentralized ASIC-powered compute with a verifiable AI framework to address longstanding performance and cost limitations in real-world zkML use cases.
The integration will see Inference Labs’ verifiable AI software deployed on Cysic’s decentralized compute network, leveraging its ZK-proving hardware to support scalable and low-cost AI verification. This unified infrastructure aims to support emerging applications such as Verifiable Autonomous Agents and Oracles by enabling accountability and transparency through proof-based systems.
Historically, AI's “black box” decision-making processes have raised concerns around trust and transparency in critical environments. This partnership aims to provide the foundational infrastructure required to make verifiable AI systems viable at scale.
The New Frontier of Verifiable Applications
The AI outputs of today are unverifiable. End-users and intermediate applications simply have no way of knowing whether a particular output came from a particular model. But future applications will require an auditable paper trail for every AI output.
For example:
Expanded Applications: These applications will unlock a new generation of previously impossible, high-stakes use cases, including:
Historically, the vision for these verifiable agents and oracles has been clear, but the “proof generation” step, the cryptographic workload that makes verification possible, has lacked infrastructure capable of scaling to meet the workload needed by these applications.
The Architects of Trust
The new partnership creates a synergistic combination between two protocols that are uniquely positioned to power verifiable AI in the future.
Inference Labs’ verified AI stack is the integrity layer for AI. Its zk-proof based system allows any autonomous agent or oracle to generate a proof of its honest operation while simultaneously keeping its core IP and data private. This verification is a fundamental requirement of tomorrow’s AI-powered software.
Cysic’s decentralized compute network functions as the proof engine for Web3. It uses specialized hardware (ASICs and GPUs) to perform the intense computation required for ZK proofs, and it does so at a scale and cost that makes running these agents economically viable. Together, the two protocols form the infrastructure needed to power the verified AI revolution now and into the future.
This partnership signifies the activation of a critical infrastructure layer for a trustless digital future. By solving the fundamental bottleneck of proof generation, Cysic and Inference Labs are not only enabling a new class of applications but are also laying the groundwork for a world where autonomous systems operate with cryptographic certainty rather than blind faith. The era of verifiable, accountable AI can begin now.
About Cysic
Cysic, backed by leading investors including Polychain Capital, OKX Ventures, HashKey Capital, is building the verifiable compute engine for Web3. By combining custom ZK hardware, a decentralized node network, and a programmable economic layer, Cysic transforms computation into a trustless, on-chain resource. The network supports scalable proof generation, AI verification, and scientific computing workloads, laying the groundwork for the ComputeFi economy.
Follow on X: @cysic_xyz
Read the Docs: https://hackmd.io/@Cysic
https://docs.cysicfoundation.org/~/changes/18
About Inference Labs
Inference Labs builds decentralized AI infrastructure that makes AI outputs verifiable, private and trustworthy using cryptographic proofs. Their Proof of Inference protocol and network enable mathematically auditable AI across autonomous agents and Web3 systems, tackling trust, transparency and privacy at scale
Follow on X: https://x.com/inference_labs
Read the Docs: https://docs.inferencelabs.com
Media Contacts:
jamie@theprgenius.com
Felix Clarke
The PR Genius
felix@theprgenius.com
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