What is Rayls (RLS)?

By CMC AI
30 January 2026 10:01PM (UTC+0)

TLDR

Rayls (RLS) is a blockchain ecosystem designed to bridge traditional finance (TradFi) and decentralized finance (DeFi), enabling institutions to tokenize assets and transact securely while maintaining compliance.

  1. Purpose: Connects TradFi liquidity with DeFi innovation via public/private chains.

  2. Tokenomics: Fixed supply of 10B RLS with deflationary burns from transaction fees.

  3. Technology: EVM compatibility, privacy nodes, and Proof-of-Usage for transparency.

Deep Dive

1. Purpose & Value Proposition

Rayls aims to bring institutional financial activity on-chain by providing a hybrid infrastructure. Its public chain supports open DeFi applications, while private chains (Privacy Nodes) let banks and institutions handle confidential transactions (Rayls Blog). This dual approach allows institutions to tokenize real-world assets (RWAs), settle cross-border payments, and interact with public DeFi liquidity without compromising regulatory requirements.

2. Technology & Architecture

Rayls combines an EVM-compatible public chain with private, permissioned networks. Its Proof-of-Usage (PoU) mechanism publishes anonymized transaction data from private chains to the public ledger, ensuring auditability without exposing sensitive details. Validators stake RLS to secure the network and verify zero-knowledge proofs, balancing decentralization with institutional trust needs (Rayls Docs).

3. Tokenomics & Governance

The RLS token has a fixed supply of 10 billion. Every transaction fee (public or private) triggers a 50% burn and 50% allocation to validators and ecosystem development. This creates deflationary pressure as adoption grows. Governance is initially managed by the Rayls Foundation but will transition to a DAO, allowing RLS holders to vote on protocol upgrades and funding (X Post).

Conclusion

Rayls is a compliance-first blockchain infrastructure that merges TradFi’s scale with DeFi’s programmability, anchored by a deflationary token model. As institutions increasingly adopt blockchain, how effectively will Rayls balance privacy, regulatory demands, and decentralized governance?

CMC AI can make mistakes. Not financial advice.