Founded in Skowhegan, Maine — built for the world

We Believe AI Governance
Should Be a Science

Not a checklist. Not a dashboard of self-reported scores. A system grounded in mathematical proof, cryptographic verification, and conservation laws that cannot be violated.

The Problem That Started It All

Every AI governance platform on the market works the same way: questionnaires, risk scores, manual documentation. They ask AI teams to self-report compliance. Then they display it on a dashboard. That's not governance. That's an honor system with a UI.

Atomic Trust was founded on a different premise: what if governance had the same rigor as the AI systems it governs? What if trust were a conserved quantity, like energy in physics? What if every compliance claim were machine-verified, not self-reported?

Two years, 48 patents, and 1,026 machine-verified theorems later, that premise became a platform.

"The whole industry is building dashboards that say 'your AI is governed' based on questionnaires. That's like building a thermometer that measures temperature by asking the room how warm it feels."

Rafael Velado, Founder
48
Patent Filings
1,026
Verified Theorems
8,106
Tests Passing
K=7.0
Conservation Law
2
Years of Research

What We Stand For

Physics Over Heuristics

If it can be a conservation law, make it a conservation law. If it can be a theorem, prove it. We don't use heuristics where math will do.

Proof, Not Promise

Every claim we make is machine-verifiable. 1,026 theorems in Lean 4. 8,106 automated tests. We prove everything.

Radical Transparency

Our open-source core is inspectable. Our conservation laws are published. Our proofs are machine-checkable. We hide nothing because we have nothing to hide.

Our Journey

2024 Q1

Conservation Law Discovery

First formulation of trust as a conserved quantity. K = 7.0 established as the structural constant.

2024 Q3

First Patent Filing

Initial provisional patent applications covering trust dynamics, conservation enforcement, and cryptographic provenance.

2025 Q1

Lean 4 Formalization Begins

Machine verification of conservation laws, boundary conditions, and geometric invariants.

2025 Q4

Non-Provisional Patent Filed

19/415,643 — Cryptographically Verifiable Dual-Pathway Trust Governance System. The core IP.

2026 Q1

Production Ready

48 patent filings. 1,026 theorems verified. 8,106 tests passing. Engine v7.0 stabilized. Ready to ship.

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Join us in making AI governance a science

We're looking for customers, partners, and believers.