Mathematically Governed AI.
Governed by mathematics at runtime. Deterministic by construction.
The category
Governed, not governance.
Governance is policy — committees, attestations, post-hoc review. It lives outside the system.
Governed is state — a mathematical control loop constraining behavior at runtime, whether anyone is watching or not.
The problem
94% of enterprise AI fails in production.
Not training failures — production failures rooted in unpredictability and the inability to defend behavior to stakeholders.
SMARTHAUS inverts the order: formalize intent as mathematics, prove what matters, generate code from the proof.
The outcome: deterministic AI
Seven properties that follow by construction.
When AI is mathematically governed, seven properties follow by construction — not by audit. Governance is the cause. Determinism is the effect.
01
Reproducible
Same inputs, same outputs, every time — by construction.
02
Traceable
Every output carries its derivation — by construction.
03
Verifiable
Properties are checked before runtime — by construction.
04
Falsifiable
Every guarantee maps to an invariant that can break — by construction.
See all seven properties
How governance gets built
Math first. Code last.
Intent becomes a theorem. The theorem is built from proven lemmas. Lemmas become runtime invariants. Code ships only after the gate closes.
The proof mechanism
Every guarantee is a theorem in Lean 4. If any lemma breaks, the gate closes and the code does not ship.
The entry point
Every engagement opens with a Mathematical Autopsy.
A forensic, math-first engagement that opens up the customer's AI and shows them the math that is not there.
Consulting-led with product pull-through. Every industry, every application, the same mathematical discipline.
Bring us your hardest AI guarantee.
The fastest way to understand what we ship is to watch us run a Mathematical Autopsy on a real one of yours.