What is Oasis (ROSE)?

By CMC AI
21 September 2025 08:20AM (UTC+0)

TLDR

Oasis Network (ROSE) is a privacy-focused blockchain designed to enable scalable, confidential computing for decentralized applications (dApps) in AI, DeFi, and Web3.

  1. Privacy-first architecture – Uses confidential smart contracts and off-chain compute to secure sensitive data.

  2. Modular design – Separates consensus and execution layers for flexibility and scalability.

  3. ROSE token utility – Powers transactions, staking, governance, and network security.

Deep Dive

1. Privacy-First Value Proposition

Oasis prioritizes data confidentiality through innovations like Sapphire, the first production-ready confidential Ethereum Virtual Machine (EVM). This allows dApps to process encrypted data securely, appealing to sectors like healthcare, AI, and finance where privacy is critical. Partnerships with projects like Band Protocol for privacy-preserving oracles (Band Protocol) highlight its focus on secure data use.

2. Technical Architecture

The network uses a modular design:
- Consensus Layer: Validators secure the network via proof-of-stake.
- ParaTime Layer: Executes smart contracts in isolated environments.
Its Runtime Offchain Logic (ROFL) framework (Oasis Protocol) enables verifiable off-chain computations (e.g., AI model training) using Trusted Execution Environments (TEEs), blending blockchain security with high-performance compute.

3. Tokenomics & Governance

ROSE has a fixed supply of 10 billion tokens, with 7.4 billion circulating as of September 2025. Key utilities include:
- Transaction fees: Required for interactions on ParaTimes like Sapphire.
- Staking: Users earn rewards by delegating to validators.
- Governance: Holders vote on protocol upgrades and treasury allocations.

Conclusion

Oasis redefines blockchain privacy by merging confidential computing with scalable infrastructure, positioning ROSE as a cornerstone for trustless AI and sensitive-data dApps. How will its focus on modularity and TEEs shape adoption in industries demanding both performance and privacy?

CMC AI can make mistakes. Not financial advice.