Every enterprise racing to deploy AI right now is staring at the same uncomfortable question: how do you let a model work on your most sensitive data without ever actually exposing that data? Today, 01 Quantum Inc. (TSXV: ONE) (OTCQB: OONEF) announced it has received a Notice of Allowance from the USPTO for the technology that answers exactly that question — and does it in a way that’s ready for the quantum era, not just today’s threat landscape.

The Patent That Validates a Category

US patent application No. 19/341,748 has been examined by the USPTO and allowed for issuance. The invention covers a secure AI professional/managed service for enterprises and government — including national defense — as well as a secure AI model marketplace. At its core, it manages computation-preserving-cryptography (CPC) encryption of both data and models using public and private CPC user key pairs.

In plain terms: the patent protects an architecture where AI computation happens on encrypted data, with encrypted models, producing encrypted outputs. Nothing in readable form. Ever.

This is independent third-party validation that 01 Quantum’s secure-AI approach is novel and technically credible — not a marketing claim, but a USPTO determination.

The Two Threats Enterprise AI Refuses to Talk About

While the industry obsesses over model performance and inference speed, two security problems are quietly metastasizing:

1. Data exposure during inference. Every prompt sent to a hosted AI model is, at some point, decrypted to be processed. Every fine-tuning dataset sits in cleartext when the model trains on it. Every output is generated in the open. For regulated industries, defense agencies, and any enterprise with proprietary data, this is a structural vulnerability — not a configuration issue you can patch.

2. Model theft and quantum harvesting. Proprietary AI models are increasingly the most valuable IP an organization owns. Today’s encryption protecting model weights and inference traffic is the same elliptic curve and RSA cryptography that quantum computers will break. “Harvest now, decrypt later” doesn’t just apply to financial transactions and state secrets — it applies to every encrypted AI prompt, every model parameter exchange, every training dataset moving across networks today.

Most AI security solutions on the market address neither of these properly. They wrap classical security around a fundamentally exposed computation model.

What QAW Actually Does

The Quantum AI Wrapper (QAW) embodies the patent application. As Andrew Cheung, CEO of 01 Quantum, explained in today’s announcement, QAW is designed to let AI systems work on data without ever exposing that data in readable form. It does this by combining Fully Homomorphic Encryption (FHE) — which allows computation on encrypted information — with 01 Quantum’s standards-based IronCAP™ post-quantum cryptography.

The result is an AI environment where prompts, model parameters, and outputs stay encrypted end-to-end, even if the underlying system is compromised.

That last clause matters. “Even if the underlying system is compromised” is the threat model that conventional AI security cannot deliver against. QAW changes the assumption from “trust the infrastructure” to “the infrastructure doesn’t need to be trusted.”

Why This Patent Strengthens Commercial Position

A USPTO Notice of Allowance does more than protect IP. For enterprise and government buyers — especially in defense, financial services, healthcare, and critical infrastructure — purchasing decisions increasingly hinge on demonstrable, defensible technical differentiation. Security claims need to be backed by something more than a brochure.

This allowance gives 01 Quantum exactly that. For prospective customers, partners, and channel integrators evaluating secure AI options, the patent is independent validation that the architecture is novel. For 01 Quantum, it strengthens go-to-market messaging and competitive posture in conversations that are happening right now as governments and enterprises accelerate AI adoption.

The 01 Quantum Foundation

This isn’t a startup pivoting into AI security. 01 Quantum has been building post-quantum cryptography since 2022, with IronCAP™ technologies already patent-protected in the U.S. by patents #11,271,715 and #11,669,833, and aligned with NIST’s FIPS 203, 204, and 205 standards. The company’s strategic advisor, Dr. Edoardo Persichetti, is a co-author of HQC — one of the algorithms NIST selected in its post-quantum standardization process.

QAW extends that foundation into the AI domain. The same cryptographic rigor that secures digital assets and enterprise communications now secures the most sensitive computation enterprises perform.

A working demonstration of QAW was shown at 01 Quantum’s recent Shareholders’ Meeting and is available on the company’s Investor Relations page. This is not a roadmap promise — it’s running code.

The Window Is Closing

Two timelines are converging: enterprise AI adoption is accelerating, and quantum capabilities continue to advance. The organizations deploying AI infrastructure today are making cryptographic decisions that will outlive the quantum transition. Choosing AI security architectures that are not quantum-safe means committing to a forced migration later — at significantly higher cost, and with every prompt and dataset transmitted in the interim already harvested by adversaries.

QAW solves both problems at once: secure computation today, quantum-safe by design for tomorrow.

Conclusion: Validated, Differentiated, Ready

Today’s USPTO Notice of Allowance is more than a patent milestone. It’s confirmation that 01 Quantum has built — and protected — a fundamentally different approach to AI security at exactly the moment enterprises and governments need it most.

While the rest of the industry is still debating whether AI security needs a rethink, 01 Quantum already has the architecture, the standards alignment, the academic credibility, and now the patent allowance to back it up.