—— RUNTIME NEURAL ASSESSMENT FOR AUTONOMOUS AI

Billions of decisions at inference time.

Nobody sees inside the neural pathway.

We see inside the neural decision pathway at the moment of decision.

105 measures. Post-quantum cryptographic proof. Edge-deployable.

Agents will make billions of decisions a day.

You will not be able to see inside all of them. How do you know why it decided what it decided?

—— 01 / THE QUESTION

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the question

  • How do you know what is actually happening?

  • How do you stay in control of a system moving faster than you can watch?

  • When a decision is questioned, what can you verify?

Luminae is an agentic system.

Our agents assess and grade yours, decision by decision, at the speed you operate.

—— 02 / WHAT WE ARE

A system moving at machine speed cannot be assessed by people moving at human speed. It can only be assessed by something that moves at its speed and answers to people. That is what we built. Our agents observe yours in flight, assess every decision against the neural pathway that produced it, and produce a signed record a person can verify.

Our agents are themselves bounded. Their behavior is signed, their reasoning is recorded, and the standards they hold yours to are set by you — not by us. The watcher is itself watched.

What our neural assessment produces.

—— 03 / WHAT WE OFFER

-- VERIFICATION

Feature activations, attention patterns, reasoning alignment. Assessed against the agent's declared objective. Not what it decided. How it decided. And whether it decided for the right reasons.

You can hand the record to an auditor, a regulator, or an oversight body. They can verify it without access to anything else.

NEURAL PATHWAY ANALYSIS AT EVERY DECISION.

-- LEARNING

Every governed decision becomes a teaching signal. Reinforcement learning, applied at the system level. The agents improve continuously, against the same standards you used to govern them.

Control gets stronger over time. So does performance. The longer you run the system, the better it gets at staying within bounds.

A corpus the agents learn from.

Anywhere an autonomous system makes a decision that matters.

—— 04 / WHERE OUR AGENTS ACT

Single agents, fleets, multi-agent networks, agentic workflows, autonomous platforms. Across providers. Across deployment patterns. Across the boundary between observation and action.

-- DEFENSE

Air-gapped and edge deployment. No model weights leave your boundary. No classified material crosses ours. Compatible with existing command frameworks. Sub-15ms latency. 105 neural assessment measures.

Mission systems acting under real conditions.

-- ENTERPRISE

Verifiable audit trails. Control across multi-model fleets, regardless of provider.

High-consequence decisions in regulated environments.

Validated

—— 05 / STANDING

DARPA evaluated. No weaknesses identified. MVP live. 1M+ decisions assessed.

See inside your AI.

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