rep.fun
  • The Intelligent Web Needs Privacy by Default
  • rep.fun: Built-in Trust
    • Mission
    • Vision
  • The Logic Layer Behind Trusted AI
    • Trusted Execution Environments (TEEs)
      • Private by Design: Protecting Data in Execution
      • Verifiable by Default: Generating Cryptographic Proofs
      • TEE Execution Lifecycle Overview:
    • Modular AI Micro-Engines
    • Cross-Chain Privacy Routing
    • Earn With TEE
      • Run & Monetize TEE Nodes
      • Deploy AI Micro-Engines
      • Join the AI & TEE Developer Program
  • Privacy, Execution, and Extensibility
    • Privacy by Default
    • TEE Node Marketplace
      • Execution Flow
    • Enterprise-Ready
  • Technical Backbone
    • AI Computation Layer
    • TEE Technology
    • Cross-Chain Communication Layer
  • Tokenomics
    • Token Allocation
    • Utility
  • Roadmap
  • FAQ
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  1. The Logic Layer Behind Trusted AI

Cross-Chain Privacy Routing

One of rep.fun’s core capabilities is its ability to operate seamlessly across multiple blockchain ecosystems — without ever compromising on privacy. In a world where assets, users, and data are increasingly distributed across chains, Cross-Chain Privacy Routing ensures that intelligent computation can follow, securely and efficiently.

This mechanism enables AI workflows to interact with data and assets on different networks — such as Ethereum, Solana, or other EVM-compatible chains — while keeping all task logic, inputs, and outputs fully private. For users, this means they can, for example, analyze DeFi activity on Solana while managing execution on Ethereum, or query governance signals across DAOs without fragmenting their operations across isolated platforms. It allows rep.fun to serve as a chain-agnostic AI layer, unlocking use cases like multi-chain strategy automation, cross-network analytics, and private data aggregation.

To make this possible, rep.fun integrates with secure cross-chain communication protocols like Wormhole and XCM, which act as the encrypted bridges for task dispatch. When a user submits a query or action:

  • The request is first encrypted and assigned to the appropriate AI micro-engine.

  • If that engine or required data resides on another chain, the task is routed to a TEE node operating on that target network.

  • Computation is executed privately within the TEE, and the result — along with a cryptographic attestation — is encrypted and returned to the origin chain.

  • All routing is conducted without exposing the user’s data or the AI logic in transit.

This architecture eliminates traditional barriers between ecosystems while preserving the confidentiality and verifiability that rep.fun is built upon. By combining secure execution with intelligent routing, rep.fun ensures that AI remains not only powerful and decentralized — but also inherently cross-chain, private, and programmable.

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Last updated 7 days ago