Private by Design: Protecting Data in Execution

TEEs enable a fundamental shift from the traditional AI model, where data is exposed to centralized servers or third-party APIs, to one where no sensitive information is ever revealed. When a user initiates a task on rep.fun, their input is first encrypted and transmitted securely to a selected TEE node.

Inside the TEE:

• The task is decrypted and executed in complete isolation.

• No external process — including the node operator, OS, or host machine — can access the data.

• Intermediate steps and outputs remain confined within the enclave.

This ensures that every AI model inference, diagnostic analysis, or asset computation is performed without the risk of surveillance, leakage, or manipulation.