
ZeroPool
Is fully private multi-blockchain solution. Low transaction fees, atomic swaps and common anonymity set




Is fully private multi-blockchain solution. Low transaction fees, atomic swaps and common anonymity set




The Zion app is a peer-governed social network where members are the true owners of their data with BTC lightning integration.

ZisK is a high-performance zkVM (Zero-Knowledge Virtual Machine) designed to generate zero-knowledge proofs of arbitrary program execution. It enables developers to prove the correctness of a computation without revealing its internal state, making ZisK a powerful tool for privacy-preserving and verifiable computation.



ZK Email allows to verify emails according to DKIM protocol using zero-knowledge proofs.


A set of reusable libraries for zero-knowledge technologies.



Privacy-preserving self-custodial unforgeable proof of identity.

Modular layer optimized to verify zk proofs.


Pioneering Privacy AI with Decentralized Infrastructure (DePIN)

ZKCHAOS is a layer2-based anonymous transaction protocol, and a fair game platform, which is built to enhance privacy for all kinds of cryptocurrency

Decentralized, Private Computing.

decentralized machine learning and zero-knowledge protocols, to prevent unintended data exposure and ensure user privacy and data integrity while using Autonomous AI agents and general-purpose AI applications.

ZKEncrypt AI leverages Fully Homomorphic Encryption (FHE) for computations on encrypted data (Eval(f, Enc(m)) → Enc(f(m)) under Ring-Learning With Errors (RLWE) assumptions), integrated with Zero-Knowledge Succinct Non-Interactive Arguments of Knowledge (ZK-SNARKs) for verifiable privacy. Built natively on the Solana blockchain using Rust-based smart contracts and the Anchor framework, with AI-driven optimizations via libraries like Microsoft SEAL for noise management and ciphertext packing. Special Features: Hybrid FHE-ZK Protocols: Seamless combination enabling encrypted on-chain computations with zero-knowledge attestations, reducing latency by up to 10x in high-throughput scenarios. AI-Optimized Scalability: Machine learning models dynamically adjust encryption parameters for Solana's parallel processing, supporting applications like confidential DeFi transactions or shielded NFT transfers. End-to-End Blockchain Privacy: Nodes process encrypted queries (e.g., private ML inferences) without decryption, ensuring tamper-proof integrity via Solana's consensus. Open-Source Compatibility: Modular design for easy integration with existing dApps, with prototypes demonstrating efficient handling of transaction-heavy workloads. Why Users Should Adopt ZKEncrypt AI: In a landscape of escalating data breaches and regulatory scrutiny (e.g., GDPR, MiCA), ZKEncrypt AI empowers developers and users to build trust-minimized applications on Solana, where privacy is not an afterthought but a core primitive. By enabling fully encrypted web interactions on blockchain, it mitigates intermediary risks, unlocks novel use cases like anonymous voting or secure supply-chain verification, and positions Solana as a leader in privacy-preserving DeFi. Early adopters gain a competitive edge in scalable, confidential computing without compromising performance.

ZKForge is built using zero-knowledge STARK technology to enable fully encrypted communication and decentralized authentication. We focus on privacy-first infrastructure where no private keys or user secrets are ever stored or transmitted. Our core technology stack includes zk-STARK proofs for authentication, Solana wallet integration for non-custodial identity, and end-to-end encryption for every message and transaction. Each session and interaction is cryptographically verified on-chain and off-chain, ensuring that users maintain complete control over their data. What makes ZKForge special is its ability to combine the scalability of modern Web3 frameworks with zero-knowledge privacy. Users can log in, chat, or send funds without revealing any sensitive information. It’s not just a secure app—it’s a proof-based communication layer built for the next era of privacy in blockchain. Users should choose ZKForge because it provides real privacy, transparent security, and verifiable protection. It’s an ecosystem designed for those who want to stay encrypted, own their data, and interact safely in the decentralized world.

LLM Based Web3 search engine

zkID is a strategic initiative of the Ethereum Foundation, in collaboration with Privacy and Scaling Explorations (PSE), focused on advancing the use of Zero Knowledge Proofs (ZKPs) in digital identity systems. We contribute to PSE by leading research, coordination, education, and development efforts that enable privacy-preserving, interoperable, and standards-aligned identity infrastructure. Our team works and distributes grants across the identity ecosystem to draft technical standards, maintain open-source resources, and prototype infrastructure that aligns with evolving regulatory frameworks. By stewarding collaboration between researchers, developers, governments, and institutions, zkID bridges foundational cryptographic research with real-world deployment and impact.
