Nowwrong costs · money
AI in applications
Rules, decisions, governance and audit for regulated enterprises moving AI from demo to production. This is the whole business today.
Shipping todayCompany
Mathematically Governed AI is a category.
SMARTHAUS builds AI that has to obey rules we prove in math before it runs, so it cannot do the wrong thing, and every action it takes leaves a record you can check. We do not build the AI. We are the layer that proves it.
AI models are probabilistic. They guess. Every failure that kills a pilot traces back to that one fact, and the industry's answer is to bolt another model on top to watch the first one.
You cannot govern a guess with another guess. So we inverted how the software is built. Instead of writing code and then testing and hoping, we state what must always be true as math, prove it, and compile the proven rules into the code as constraints it cannot break. The proof comes before the code, not after.
What comes out is deterministic software that carries its guarantees by construction, and a signed record for every decision that anyone can re-verify without us in the room.
Where this goes
One architecture. Rising stakes.
We start where being wrong costs money. The same code governs the machine that moves, and the system that runs on its own. The value of proof rises exactly as the cost of being wrong rises.
Arrivingwrong costs · bodies
AI in machines that move
The same code that governs an agent inside an application governs an agent inside a machine that moves. Once AI has a body, there is no after to inspect.
Where this goesThe destinationwrong costs · lives
Autonomous, mission-critical systems
Industrial and medical systems that act on their own. Same architecture, same proof, because the guarantees are built into how the software is constructed.
Where this goesWhy us
Everyone else watches the output. We prove the action before it fires.
The rest of the market observes outputs after they exist, inside one platform, with the record written by the vendor. We sit at the intersection nobody else occupies: built to runtime, gating the action before it executes, with proof that is portable and re-verifiable off-platform.
120+ theorems machine-proven500+ invariant rules1,000+ verification testsThree patents filed
Leadership
Founder-led, built for the long game.
The architecture was built first. The company was built to carry it.
Phil Siniscalchi
Founder · CEO
Authors the canon the team builds against, and carries the company position in front of customers, regulators, and the board. Accountability for the seven properties stops here.
Babu Srinivasan
Co-founder · CTO
Owns the build discipline: Lean 4, the proof pipeline, the customer-held key chain, and the seven properties they produce. The technical floor under everything that ships.
Yen Anderson
Chief Evangelist
Translates the math into language a CIO can defend in front of a board, an auditor, and a regulator. The voice of how we talk to customers.
Build it before the failure that forces it.
You cannot govern a guess with another guess.