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Zypher Network Secures $7M to Boost Trust in AI Agents

July 4, 2025•Zypher Network•Original Link•3 minutes
Blockchain
ArtificialIntelligence
Decentralization

Zypher Network raises $7 million to advance its zero-knowledge protocol stack and AI-specific rollup infrastructure, co-led by UOB Venture and Signum Capital.

San Francisco, USA, July 4th, 2025 — Zypher Network, a decentralized trust infrastructure provider for autonomous AI agents, has closed a $7 million funding round. The investment will accelerate the development of its zero-knowledge (ZK) protocol stack and AI-specific rollup infrastructure. The round was co-led by UOB Venture and Signum Capital, with participation from HashKey Capital, Hong Leong Group, Cogitent Ventures, Catcher VC, Hydrogenesis Labs, DWF Venture, and other strategic investors.

The Growing Need for Trust in AI Agents

As large language model (LLM)-based autonomous agents gain traction through platforms like Nvidia Eureka and OpenAI Operator, the market for agent-driven ecosystems is projected to reach $250–350 billion by 2035. This growth underscores the need for standardized, verifiable mechanisms to ensure trust, reliability, and accountability in AI agent behavior—akin to the rise of SSL as a foundational security layer for the internet.

Zypher Network’s Solution

Zypher Network addresses this challenge with its open-source, zero-knowledge protocol suite, designed to certify agent integrity, transparency, and data privacy. Its flagship product, Proof of Prompt, is a zkTLS-inspired protocol that enables public verification of system prompts without revealing sensitive inputs or outputs. The solution is delivered via a RESTful API, making it accessible to developers and enterprises integrating agent-based automation in domains like legal operations, customer support, robotics, and financial services. Additionally, Zypher offers an AI security browser for real-time detection of potentially malicious agentic behavior.

Infrastructure and Partnerships

The API layer is powered by Zytron, Zypher’s dedicated AI rollup infrastructure, which operates as a Layer 2 on BNB Chain and is compatible with RISC-V architecture. Zytron also supports Proof Mining, a decentralized prover system based on Proof of Verifiable Work, facilitating scalable, distributed ZK proof computation and verification.

“We are excited about Zypher’s ‘proof of prompts’ distributed solution and the committed team behind. We foresee Zytron will be an important building block to embed trust in the AI applications out there.” — YY, Managing Partner, Signum Capital

Future Plans

The newly raised capital will fund team expansion, infrastructure scaling, and incentive-driven initiatives to broaden Zypher’s developer and user ecosystem. To date, Zypher has engaged over one million on-chain participants through community campaigns and ecosystem programs. Its trust layer is integrated with leading protocols like Eliza OS, io.Net, Nexus, Risc Zero, Eigen Layer, Particle Network, Fermah, Polyhedra, and ZeroBase, enhancing interoperability and improving the developer experience.

In the coming months, Zypher will launch a large-scale Social & Proof Mining campaign to incentivize decentralized agent verification, with early participation from key agent partners.

“Our trust layer protocol is redefining what’s possible in agent verification. With this funding, we’re accelerating the rollout of scalable ZK infrastructure that ensures trust without sacrificing privacy.” — Giv Zypher, CEO

About Zypher Network

Zypher Network is a decentralized trust platform enabling verifiable autonomy for AI agents through zero-knowledge protocols and its purpose-built rollup infrastructure, Zytron. With operations in Hong Kong and Silicon Valley, Zypher empowers developers and enterprises to build secure, scalable AI systems for both Web3-native and real-world applications.

Contact:
Maggie Wang
media@zypher.network

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About the Author

Dr. Emily Wang

Dr. Emily Wang

AI Product Strategy Expert

Former Google AI Product Manager with 10 years of experience in AI product development and strategy formulation. Led multiple successful AI products from 0 to 1 development process, now provides product strategy consulting for AI startups while writing AI product analysis articles for various tech media outlets.

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AI Product Management
User Experience
Business Strategy
Market Analysis
Experience
10 years
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