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Computation is broken. Whoever processes data must access it, exposing it to attacks, exploits, and risky trust assumptions. Processing data has always required sacrificing control. Traditional cryptography protects data at rest and in transit, but once computation begins, security fails, data is vulnerable and confidentiality dissolves. This is Web3’s biggest limitation: transparency, while powerful, makes handling sensitive data impossible. Tackling this challenge is crucial to scaling the industry and unlocking the next generation of powerful applications. Enter Arcium — a fast, flexible, and low-cost infrastructure for accessing confidential computation via the blockchain. Arcium is the Confidential Supercomputer that enables confidential computing at scale for developers, applications, and entire industries with a trustless, verifiable, and efficient framework to compute over fully confidential data. Powered by secure Multi-Party Computation (MPC), Arcium delivers scalable, secure confidentiality solutions for Web2 or Web3 projects, powered via decentralized networks.

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Choose your path

Learn About Arcium

Understand MPC, MXEs, and how confidential computation works.

Start Building

Set up your environment and write your first confidential instruction.

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Key benefits

There are three major confidentiality benefits for projects and their users.
  • Full Confidentiality: Full and trustless confidentiality for users of any new or existing application.
  • More Powerful Apps: Compute over fully confidential data, opening new possibilities for novel onchain and offchain applications.
  • Easy Integrations: Seamless integration of confidential computing into any app with a few lines of code.
With Arcium’s trustless access and verifiable computation, industries such as AI, DeFi, and DePIN, and all else can not only benefit from enhanced data security but entirely new use cases and applications become possible. This makes Arcium the ideal solution for secure, decentralized computing in an increasingly data-driven world.