Mathematically Governed AI

AI you can prove.
Not AI you have to trust.

We build AI that proves every decision before it acts — the same answer every time, signed, and verifiable by your auditor without us in the room.

PROOF

SMARTHAUS · DECISION RECEIPT

Was this action allowed?Yes
Which invariant applied?Refund policy v9
Same answer as last time?Yes · byte-identical
Replayable by your auditor?Yes · clean machine
Has the model been swapped?No · hash matches
When was it decided?2026-04-30 14:22 UTC
Signed?Customer-held key
Signed by a key SMARTHAUS does not hold. The receipt travels with the response. Your regulator can verify it without contacting us.
Where this is going

The guess is leaving the screen. Now it can cost lives.

AI is moving onto factory floors, into vehicles, onto surgical tables. In a 2025 factory test, a Unitree H1 humanoid suffered a control-software failure and lashed out at the engineers beside it. No one was hurt — the tether is the only reason it is a clip and not an obituary. The same guess that costs a refund today drives a motor tomorrow.

See where this goes →

Six failures. One cause.

AI models are probabilistic. They guess. Every failure that kills a pilot traces back to that one fact. The industry's answer is to bolt another AI on top to watch the first one. You cannot govern a guess with another guess. So we inverted it: we prove the math before we write the code.

The discipline that makes that possible is the Mathematical Autopsy. See how we build →

We stop the action before it fires.

Wrapper-style governance · the rest of the market

The control runs after the action.

  • A probabilistic classifier inspects the output once it has been produced.
  • The dashboard alerts your team after the trade, the denial, the email has fired.
  • Evidence is a log of what happened. Reconstruction depends on the vendor.
  • The control itself is AI — it has its own error rate and its own failure modes.
  • By the time their tool sees a bad output, the action has already committed.
SMARTHAUS · mathematically governed runtime

The control runs before the action.

  • We admit the action — we decide, before it fires, whether to let it happen.
  • A gate checks the action first, and gives the same answer every time for the same input (it is deterministic). It checks the rules the action must never break — its invariants — proven before launch in Lean 4, a public proof system.
  • If a rule would break, the action never fires. That is built into the code, not checked after the fact (by construction) — and never left to another AI's judgment.
  • The evidence is a signed receipt for each decision, replayable on a clean machine without us.
  • The gate is mechanical. It cannot be talked out of it by a confident, wrong answer.
Who checks it

Every decision has to hold up in front of someone who can pull the thread.

There are five of them. One proof object — the Decision Receipt — answers all five, without us in the room.

The auditor

“Show me what this decision checked — and prove it ran.” The receipt names the rule, the inputs, and the result, re-runnable on a clean machine.

The regulator

“Prove the control applied before the action.” The signed receipt is evidence the gate fired first, not a log written after.

The board

“Can we defend this if it goes wrong?” One bound record per decision — not a vendor’s assurance.

The customer

“Was I treated the way the policy says?” The same input returns the same governed answer, every time.

The court

“Produce the record.” Signed with a key we do not hold — verifiable without ever contacting us.

See how one receipt answers all five →

What we sell

Four products. One layer ties them together.

What we sell is four products — a control plane and an inference engine you run, a custom runtime we build for your hardest capability, and the engine you build it all with. All inside your environment: your compute, your keys. Above them, Operation Center turns every receipt into evidence a regulator will accept.

UCP
Universal Control Plane

Gates every AI action — admits or refuses it before it fires, with a signed receipt either way.

Closes F4 · Prevent pilot
See Universal Control Plane →
SAID
Sealed AI Deterministic Inference

Same input, same mathematically-governed output — every call replayable and signed, verifiable by your auditor.

Closes F2 · Replay pilot
See Sealed AI Deterministic Inference →
MAE
Mathematical Autopsy Engine

The engine you build proven software with — run the autopsy method in your own pipeline.

The build engine · powers MGR
See Mathematical Autopsy Engine →
MGR
Mathematically Governed Runtime

Your hardest capability as a governed, deterministic runtime — proven in math during the engagement, then yours to keep and run.

Closes F1·F3·F5 · Specify pilot
See Mathematically Governed Runtime →
OC
Operation Center

The authority layer over every governed runtime. Every receipt, fleet-wide, becomes a board- and regulator-ready evidence package — so you lead the regulator with proof, not policy. Mandatory on every enterprise deployment.

Closes F6 · the LEAD failure
See Operation Center →

You cannot govern a guess with another guess.

Build it before the failure that forces it.

The clock is still running — Colorado SB 26-189 · Jan 2027 · EU AI Act high-risk · 2027 · and SR 26-2 just handed AI governance back to you.