Ecosystem · AMA apps
Hardware-backed enclaves where agents run on private data — proprietary strategies, internal risk models, and regulated workflows — while their behavior stays verifiable at the protocol level.
Internal state stays confidential inside the enclave. Sensitive prompts, policies, and datasets never leak.
Deterministic behavior and version history remain verifiable even though the underlying data stays private.
A reserved share of emissions funds GPU-TEE operators building the confidential compute layer agents depend on.
The goal isn’t privacy in isolation — it’s privacy combined with control and verifiability.