Orgn was founded on the conviction that confidential code deserves confidential AI. The first generation of AI coding tools asked engineers to ship their most valuable IP through infrastructure they could not see, audit, or stop. We built Orgn so the answer to "where did my code go?" can be a cryptographic receipt, not a vendor promise.

Every AI tool on the market asks you to trust the vendor with your IP. We are building the opposite.

If you have watched a senior engineer refuse to paste a function into ChatGPT, you understand the problem we built Orgn to fix: vendor opacity, unaudited inference, and training-data leakage are not edge cases. They are the default architecture of cloud AI.

Sensitive environments do not need another policy page. They need hardware-backed isolation, cryptographic attestation, and deployment options that match the threat model—including private, sovereign, and air-gapped environments.