Intellectual Property
33 Holding Group, Inc. holds two U.S. Patents in Trusted Execution Environments and secure data sovereignty — granted 2021. Jonathan Simmons is the inventor. These patents are the technical foundation of 33 Holding Group's privacy architecture and underpin every product the company builds.
Covers the kernel deployment engine at the heart of 33 Holding Group's TEE infrastructure — the architecture that certifies applications before they execute, monitors compliance at runtime, and verifies cryptographic identity throughout the process.
Covers the identity and access layer — the architecture that manages secure user profiles, controls data access at the field level, enforces granular consent, and maintains an immutable audit ledger of every access event.
A Trusted Execution Environment is a secure area of a processor that guarantees code and data loaded inside it are protected from the rest of the system — including the operating system, cloud provider, or any other application running on the same hardware.
This is not a software policy. It is hardware-enforced isolation. The data processed inside a TEE cannot be accessed by the platform that runs it. The platform itself cannot see what happens inside. That is an architectural guarantee, not a contractual one.
33 Holding Group builds on this foundation. It puts a governance and consent layer between AI agents and sensitive data — so that AI can compute on data it is never allowed to extract. The result: insights without exposure. Compliance without compromise.
Data processed inside the TEE is inaccessible to the OS, cloud provider, and any other process — including the platform itself. The architecture enforces what policy only promises.
AI agents receive outputs from the TEE — not raw data. The model computes inside; anonymized results come out. The underlying data never leaves the secure envelope.
Every data access is timestamped and locked into the immutable audit ledger. The record cannot be altered after the fact. This is the chain of custody that holds in disputes, audits, and regulatory review.
Most AI compliance counsel works from a checklist applied after the system is built. This architecture was designed from the ground up for compliance — the patents are the evidence. The frameworks below are not retrofitted. They are native to the architecture.
Right to erasure, data minimization, purpose limitation, and consent withdrawal — all enforced at the architecture layer. Granular consent (USP 11,151,254) allows field-level revocation. The immutable audit ledger provides the Article 30 processing record.
Protected health information processed inside TEE hardware isolation — the platform cannot access what it computes on. Access controls, audit logs, and encryption at rest and in transit are structural, not configured. Breach risk is architectural — not just procedural.
The NIST AI Risk Management Framework requires Govern, Map, Measure, and Manage functions. This architecture provides the technical substrate for all four — certified execution environments, runtime monitoring, immutable audit records, and revocable consent enforcement.
High-risk AI systems require transparency, human oversight, and data governance. TEE-enforced compute separation, certified application signing, and the immutable ledger provide the auditability the Act requires — including for AI systems that process personal data in regulated contexts.
Colorado's AI Act requires impact assessments, transparency notices, and data governance for consequential decisions. The consent architecture of USP 11,151,254 provides the documented, revocable consent trail CAIA requires — granular, field-level, and enforceable at the hardware layer.
Beyond compliance frameworks: the person owns their data cryptographically. The TEE ensures the platform cannot access what the user has not explicitly permitted. Grant or revoke in one action — enforced at the hardware level. Sovereignty is architectural, not contractual.
A Catholic AI ministry for people in crisis. The conversations people bring here are among the most private they will ever have. The TEE architecture ensures the platform itself cannot see individual conversations. Your darkest moments belong to you alone.
A Catholic personal AI companion built on the Know me · Show me · Protect me covenant. The patents provide the Protect me pillar — cryptographic privacy that makes the companion trustworthy. The conversation belongs to the person, not the platform.
Privacy and AI compliance counsel grounded in the architecture that underlies these patents — not a checklist, not a policy document. When we advise on GDPR or the EU AI Act, we advise from the inside out. The patents are the proof.
A Catholic quantitative investment system. Investor identity, financial records, and portfolio data are held in trust — protected by the same TEE architecture. When capital is raised under Reg D, every investor record, consent, and audit trail is backed by the architecture these patents cover.
Every person whose data touches this architecture bears the image of God. That is not a policy statement. It is the reason the architecture was built the way it was built.
Privacy is not a feature. It is inseparable from dignity. A system that surveils, profiles, or monetizes what a person shares in trust is not a neutral tool — it is an offense against the person. The patents exist because the conviction exists.
The governing principles behind every 33 Holding Group venture — rooted in Catholic Social Teaching and Magnifica Humanitas (Pope Leo XIV, May 25, 2026) — are published in full.