What is iExec RLC (RLC)?

Deep Dive

1. Purpose & Value Proposition

iExec addresses the critical need for privacy and data ownership in Web3. Public blockchains expose sensitive data, which hinders adoption in fields like AI, DeFi, and real-world assets (RWAs). iExec's value proposition is to make confidential computing accessible. It provides developers with pre-built components to easily add features like encrypted data processing, private messaging, and secure access controls. This allows builders to create applications where users retain full control over their data, enabling new models for secure data sharing and monetization.

2. Technology & Architecture

The platform's privacy core is built on Trusted Execution Environments (TEEs), such as Intel TDX. A TEE is a secure area of a processor that guarantees code and data are executed in isolation and with integrity, even from the operating system. iExec leverages this hardware-level security to run sensitive application logic confidentially. The platform is built on Ethereum and has expanded to Layer 2 networks like Arbitrum, using its open-source XtremWeb-HEP software to distribute computational tasks across a decentralized network of providers. This architecture provides fault tolerance and hybrid infrastructure support.

3. Tokenomics & Ecosystem Utility

The RLC token has a fixed supply of 86 million and is central to the ecosystem's operation. Its utility is multifaceted: it serves as the payment currency for computing resources, powers confidential transactions, and is used in incentive programs. During its Tokenomics Week in May 2025, iExec introduced initiatives like a voucher system for developers, revenue-sharing models, and staking linked to its Privacy Pass program (Cryptodaily). The token also fuels its expansion, as seen when iExec became the first TEE-based privacy provider on Arbitrum in September 2025, where every private computation increases RLC's circulation.

Conclusion

iExec RLC is fundamentally a decentralized trust layer that transforms advanced privacy technology into practical tools for developers, aiming to make data confidentiality the default in Web3. How will its infrastructure enable the next generation of private DeFi and AI applications?