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What we build

Two AI primitives. One proof discipline.

A governed control plane and a governed inference engine.

The products

Built from proof. Deployed as primitives.

These are not generic AI tools repackaged with a governance label. Each one is built from the same mathematical proof discipline that governs every SMARTHAUS engagement.

Mathematically Governed Control Plane

Universal Control Plane (UCP)

A desktop app that governs every AI connection on your device. AI agents, MCP servers, models, tools, rules, and policies — all connected through one governed control plane. Runs locally. Enforces locally. For individuals on one device or enterprises across a fleet.

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Intent-Based Inference Primitive

Sermo Arbiter Inferentiae Determinata (SAID)

A GPU-first deterministic inference engine that selects and executes LLM inference with mathematical guarantees. Ranks models using multi-objective optimization, routes requests deterministically, and produces signed decision receipts for every inference. Standalone desktop app or embeddable runtime.

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In development

The primitives underneath.

These engines are real and running in research. The packaged products aren't ready yet.

Storage substrate

Memory that holds proofs alongside meaning, so retrieval returns evidence and not just an embedding lookup.

Intent engine

Turns ambiguous requests into measurable intent fields the rest of the stack can route, gate, and prove against.

Orchestration engine

Routes intent into governed action across services, with runtime invariants that fail loudly the moment a guarantee stops holding.

Meaning extraction

Decomposes language into structured meaning so the system operates on semantics and roles, not just token sequences.

Every product conversation starts with a Mathematical Autopsy.