Privasea is an AI + DePIN project focused on building a decentralized privacy computing infrastructure. The company’s mission is to provide efficient, user-friendly Fully Homomorphic Encryption (FHE) solutions, tailored for both web2 and web3 environments, with a strong emphasis on machine learning (ML) applications.

Mind Network is an "HTTPZ" infrastructure that employs total homomorphic encryption (FHE) to usher Web3 into a new era of quantum resistance and end-to-end encryption. Mind Network offers unique solutions for data sovereignty protection, fair consensus, private voting, secure cross-chain transport, and trusted AI.

Inco Network is an EVM Layer-1, utilizing fully homomorphic encryption (FHE) to enable composable and operable confidential states. Its fhEVM (FHE + EVM) makes it possible to write private smart contracts and perform computations on top of encrypted data without requiring its decryption. This innovation unlocks a wide range use cases with confidentiality components, such as card games, DID, private voting, dark pools, etc. - paving the way for a new era of possibilities.

Arcium is a parallelized confidential computing network. It provides developers and applications with a trustless, verifiable, and efficient framework to run encrypted computations. Arcium aims to bring confidentiality to every on-chain application and become the global computing network for the decentralized internet. Multiparty computation eXecution Environments (MXEs) are the backbone of the Arcium Network. They combine Multiparty Computations (MPC), Fully Homomorphic Encryption (FHE), Zero-Knowledge Proofs (ZKPs), and more to enable encrypted computations.

Octra is an FHE blockchain network with support for isolated execution environments. The majority of the codebase is developed in languages such as OCaml, AST, ReasonML (the language for smart contracts and applications for interacting with the Octra blockchain network), and C++.

Zama is a cryptography company building open source homomorphic encryption tools for developers.Homomorphic encryption (FHE) is a technology that enables processing data without decrypting it. This can be used to create private smart contracts on top of public, permissionless blockchains, where only specific users would be able to see the transaction data and contract states.

Fair Math is a research company developing privacy-preserving technologies rooted in Fully Homomorphic Encryption. It has developed the first fully automated FHE challenge platform - FHERMA. The platform is designed to crowdsource a library of Fully Homomorphic Encryption components that can greatly simplify the development of FHE applications for Web2 and Web3.

Fhera is a Fully Homomorphic Encryption Solution that developing the biggest open-source cipher database for FHE computations Also improving algorithms.

Verisense Network is a FHE-enabled VaaS network. Plug and play with any restaking layers to unlock the AVS demand. By incorporating FHE, VeriSense Network allows computations on encrypted data without the need to decrypt it, ensuring that sensitive information remains secure and private throughout the validation process.

Sight Network is a secure computation layer with FHE. Sight Oracle is a Computational Oracle that allows users to delegate computations on encrypted data using Fully Homomorphic Encryption (FHE). Compatible with various heterogeneous blockchain networks and supporting multiple FHE schemes like CKKS and TFHE, Sight Oracle ensures security and fairness for the decentralized web.

Genitive Network is a FHE (Fully Homomorphic Encryption) based BTC L2 interoperability protocol. Genitive Network, distinct from multi-signature bridges, utilizes FHE for EVM contract deployment with privacy computational capabilities, enabling fully onchain privacy while aligning with the security levels of BTC mainnet.