Offchain Performance Onchain Trust

Run apps offchain. Ensure privacy. Maintain trust with onchain verifiability.

Private. Decentralized. Verified.

No performance penalty.

ROFL handles heavy computation offchain, keeps data private, and integrates to any API or AI model, all with verifiable results.

Streamlined TEE Development

Trustless apps. No complexity.

Deploy on any chain with ready-made templates or custom builds. Access confidential VMs instantly. Manage everything from one place.

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HOW IT WORKS

Limitless 
Composability

Anything that can be written in software can be a ROFL application

AI Agents
AI Inference & Training
Oracles, Bridges, & Light Clients
Intent Solvers & Chain Abstraction
Defense in Depth for Sequencers & ZK-Provers

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ARCHITECTURE

Turn fresh ideas into verifiable dApps today

ROFL streamlines TEE development. Write code, dockerize it, and run your application in a private and trustless way.

Flexible

Run complex AI workloads offchain.

Verifiable

Cryptographic proof for offchain computations.

Confidential

Protects sensitive data in TEEs.

Efficient

Reduce gas costs with offchain processing

Open

Selectively encrypt specific trading parameters to avoid MEV.

Trustless

No need for third-party trust.

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Related Blogs

‍Oasis x io.net: Accelerating Decentralized AI With Confidential Compute

Oasis is working with io.net to fuel the adoption of confidential computing in crypto x AI.

‍Introducing TDX Support for the ROFL Framework‍

Intel's latest confidential computing technology, Trusted Domain Extension (TDX), is live on mainnet for the ROFL framework.

ELI5: The Runtime Offchain Logic Framework

ROFL makes it possible to create custom offchain logic that can be easily verifiable onchain through trusted execution environments.

TDX Support for the ROFL Framework