Oasis Protocol Foundation Launches ROFL Mainnet – Verifiable Off-Chain Compute Framework Powering AI Applications
July 2, 2025 – Cayman Islands, Grand Cayman
Oasis Protocol Foundation launches ROFL mainnet
erifiable off-chain compute framework powering AI applications.
Positioned as the ‘Trustless AWS,’ ROFL enables developers to build privacy-preserving consumer and finance applications by leveraging TEE (trusted execution environments).
Oasis Protocol Foundation , steward of the AI-focused and privacy-first Oasis layer-one blockchain, has announced the official mainnet launch of ROFL (Runtime Off-chain Logic)
a transformative new framework designed to enable developers to perform complex computations off-chain while retaining blockchain-level trust, verification and privacy.ROFL bridges a critical gap in Web 3.0
how to run intensive workloads, such as AI model training, inference and data analysis, without sacrificing decentralization or trust.With ROFL, developers can execute resource-intensive operations off-chain within secure enclaves, then cryptographically verify and connect the results back to smart contracts on-chain, unlocking entirely new use cases across the AI and blockchain landscape.
Jernej Kos, co-founder of Oasis Protocol Foundation, said,
“When we think about the future of our digital world, consumers will continue to value convenience and ease of use over anything.
“Which is why it’s critical for developers to focus on building applications that already have privacy and transparency built into their infrastructure.
“ROFL is a production-ready platform that will serve as plug-and-play infrastructure for building the next wave of AI applications.”
Early builders on ROFL are already redefining what’s possible
Two standout projects already building on ROFL underscore the platform’s versatility.
- Zeph , a privacy-first AI companion platform, utilizes ROFL to maintain user data confidentiality through trusted execution environments. In a space plagued by security concerns, a 2023 study in the Indian Journal of Psychological Medicine found 74% of companion apps posed ‘critical’ or ‘high’ security risks. Zeph ensures sensitive data remains protected and verifiable.
- WT3 , an autonomous AI agent for decentralized trading strategies, is leveraging ROFL to deliver fully private, trustless key management and trade execution. The project is funded with $100,000 in seed capital from the Oasis Protocol Foundation to accelerate development.
And the pipeline is just getting started
ROFL is designed to support a wide variety of future products, including game hosting, MCP servers, LLM oracles, price oracles, AI-powered chatbots and more.ROFL
A ‘trustless AWS’ for AI applicationsWhat sets ROFL apart is its integration with the Oasis TEE Cloud, a robust infrastructure offering developers a full end-to-end TEE-as-a-service.
This makes ROFL the ‘trustless AWS’ for AI applications, a white-label compute layer where developers can deploy powerful services with built-in privacy, trust and scalability.
By combining blockchain’s integrity with the processing power of offchain computation, ROFL offers a breakthrough solution to two of today’s biggest tech challenges
the blockchain ecosystem’s limited application layer and AI’s pervasive trust issues.Builders can start exploring how to leverage ROFL here .
About Oasis Protocol Foundation
Oasis Protocol Foundation is a steward of Oasis Network, a layer-one blockchain platform focused on privacy, scalability and versatility.
It offers the first production-ready confidential EVM (Ethereum Virtual Machine), Sapphire, enabling privacy-preserving smart contracts and DApps (decentralized applications).
The network is expanding its focus to include AI applications, positioning itself at the intersection of blockchain, privacy and AI (artificial intelligence).
Contact
Wahaj Khan , senior PR manager at Serotonin

Disclaimer: The content of this article solely reflects the author's opinion and does not represent the platform in any capacity. This article is not intended to serve as a reference for making investment decisions.
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