What is iExec RLC (RLC)?

By CMC AI
05 December 2025 03:17AM (UTC+0)

TLDR

iExec RLC is a decentralized computing network enabling privacy-focused applications through confidential data processing and user-controlled data governance, powered by its utility token RLC.

  1. Privacy-First Infrastructure – Provides tools for developers to build apps with built-in data protection and Trusted Execution Environments (TEEs).

  2. Token-Driven Ecosystem – RLC facilitates access to computing resources, incentivizes network participation, and powers privacy features.

  3. Multi-Chain Expansion – Integrated with Ethereum and Arbitrum, enabling privacy solutions for DeFi, AI, and gaming.

Deep Dive

1. Privacy-Focused Compute Infrastructure

iExec allows developers to run applications in secure, isolated environments called Trusted Execution Environments (TEEs), which encrypt data during processing. This ensures sensitive information—like AI models or financial data—remains confidential. The network operates as a decentralized alternative to traditional cloud providers, prioritizing user control over data access and sharing (iExec).

2. RLC Token Utility

RLC serves as the backbone of iExec’s ecosystem:
- Resource Access: Used to pay for decentralized computing power and storage.
- Incentives: Rewards builders and users via staking, revenue-sharing models, and grants (e.g., the 1M RLC Ecosystem Fund).
- Governance: Token holders participate in network decisions, such as protocol upgrades.
With a fixed supply of 86 million tokens, RLC’s value is tied to utility-driven demand, not inflation (Tokenomics Week).

3. Strategic Ecosystem Growth

iExec has expanded to Arbitrum, a leading Ethereum Layer 2, becoming its first TEE-based privacy provider. This integration lets developers embed privacy into DeFi and AI apps without managing infrastructure, streamlining adoption. Projects like Web3Telegram (a privacy-focused messaging app) already leverage iExec’s tools (Decrypt).

Conclusion

iExec RLC combines privacy-preserving computation with a circular token economy, positioning itself as a critical layer for secure Web3 applications. As adoption grows, how will iExec balance scalability with its zero-trust architecture?

CMC AI can make mistakes. Not financial advice.