rep.fun: Built-in Trust

rep.fun is a privacy-native AI infrastructure protocol that redefines how intelligence operates on-chain. In a world where AI is increasingly centralized, data-hungry, and opaque, rep.fun introduces a new model: verifiable, encrypted, and user-first.

At its core, rep.fun routes all AI queries and digital asset operations into Trusted Execution Environments (TEEs) — secure hardware enclaves that ensure every interaction is sealed from external access. This means your data stays confidential, your outputs are tamper-proof, and your results can be proven on-chain.

But rep.fun isn’t just about privacy — it’s about programmable intelligence. The platform introduces AI micro-engines, modular, task-specific AI units that can be deployed, subscribed to, and composed like smart contracts. From DeFi optimization to cross-chain governance tooling, these engines offer tailored, secure AI capabilities to users, developers, and institutions alike.

The entire system is powered by a decentralized TEE node marketplace, where compute providers rent out secure execution capacity. These nodes are incentivized with $REP, the native utility and governance token that aligns economic value with network performance. Users spend $REP to access premium AI services, developers earn $REP for building engines, and node operators stake and earn $REP by securing the network.

With integrated support for EVM and Solana ecosystems (via Wormhole and XCM), rep.fun enables cross-chain privacy routing — turning fragmented chains into a unified, private compute layer.

In essence, rep.fun transforms AI from a black box into a decentralized, composable, and trustless utility. It’s not just about making AI smarter — it’s about making it work for you, not on you.