Execution infrastructure for AI.

Today, when a software team ships a macOS release, the private key that signs it — the developer's own identity — sits in CI secrets as a readable string, reconstructed inside every build. Any compromised dependency, edited workflow, or dirty runner can read it out in one line. A stolen key signs malware as you, and revoking it breaks every build you ever shipped.

The problem is not process. It is custody.

Signing keys were never meant to be files. SignetKeys generates them inside hardware where they can never exist as data, lets CI request signatures with zero stored secrets, and records every release in a tamper-evident evidence chain — signed, notarized, provable.

Today, when a patient asks an AI assistant to find a cardiologist who takes their insurance and book an appointment — nothing actionable happens. The model reasons well. Then it returns generic advice, outdated directories, and a suggestion to call a phone number.

The problem is not intelligence. It is infrastructure.

Healthcare built content for human browsers. APIs serve point-to-point software. But AI systems require something neither provides: executable, governed capabilities they can discover, reason over, and act on in real time.