Deploy AI — or guarantee it won't act wrongly. Today, you have to choose.

In 2026 the Five Eyes cyber authorities — the national security agencies of the United States, United Kingdom, Canada, Australia and New Zealand — set out what secure agentic AI requires: strict least privilege, a human decision point for every consequential action, and a traceable record of what the agent did and why. It is now the stated standard. Almost no vendor has actually built to it.

Luminous is built on a clean separation between the probabilistic and the deterministic. The language model interprets and proposes. A deterministic, sealed policy engine decides and executes. The AI holds no authority to act — by construction, not a policy it can be talked out of. A person authorizes every consequential action before it happens, and every request leaves a signed, tamper-evident record. Open-ended AI risk becomes a bounded, contained, auditable exposure your risk officer can actually sign.

On Berkeley's Agents' Last Exam — 1,490 real, expert-authored professional workflows — the best AI agent finishes only ~24% of the work end-to-end; roughly three-quarters of failures are domain-understanding and approach, not execution. That's exactly the part Luminous makes deterministic.

No reference logos, so we don't ask you to take our word. Instead: a working system reduced to practice on real silicon, and a reproducible evidence bundle your own team can independently re-run under NDA. You verify it.

No NDA to talk. If it fits, your team re-runs the evidence under NDA and we scope a sandboxed pilot on synthetic data, against one workflow you choose.