Arcium operates a parallelized confidential computing network designed to execute computations over encrypted data. It provides developers with a trustless, verifiable, and efficient framework utilizing Multiparty Computation (MPC) and other cryptographic techniques. This infrastructure enables AI models, blockchain applications, and DePIN systems to derive insights from sensitive data without exposing its contents.
Funding
$9M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Current methods of processing sensitive data often require decryption, which exposes the data to potential breaches and compromises privacy. This limitation restricts the ability of organizations to fully leverage valuable data for applications like AI training, blockchain transactions, and decentralized physical infrastructure networks (DePINs).
Solution
Arcium is a decentralized computing network that enables applications to process encrypted data without ever revealing its contents. By utilizing Multiparty Computation (MPC) and Fully Homomorphic Encryption (FHE), Arcium allows computations to be performed on data while it remains encrypted, ensuring privacy and control. The network is composed of decentralized nodes that collaboratively process encrypted data, organized via a blockchain. Developers can define the parameters for secure multiparty computations using Multiparty Computation eXecution Environments (MXEs), which are configurable virtual machines.
Target Audience
Arcium targets developers, applications, and organizations across industries seeking a secure and private way to process sensitive data, including those in AI, blockchain, and decentralized infrastructure.
Features
- Multiparty Computation eXecution Environments (MXEs) for defining and customizing MPC computations
- arxOS, a distributed operating system powering a permissionless network of nodes and clusters
- Arcis, a Rust-based Domain Specific Language (DSL) for writing secure multi-party computation (MPC) applications
- Support for AI model training on encrypted data, expanding data diversity while preserving data integrity
- Confidentiality layer for blockchain applications, ensuring secure operation across DeFi and other use cases
- Enables secure insights from sensitive data for decentralized physical infrastructure networks (DePINs)
- Configurable parameters for MXEs, including authority, cluster, protocol, I/O scheme, and computation definition