INITIALIZING SOVEREIGN PERIMETER…
Our Mission

We built this because
the question needed asking.

Enterprises are spending billions on AI they don't own, can't control, and may not be able to govern. AI Standards Inc. exists to change that.

AI should be provable. Not just promised.

The enterprise AI market was built on a model that benefits vendors: usage-based pricing, proprietary APIs, self-certified compliance, and audit trails stored in the vendor's own database. Every governance claim is a promise. Every compliance report is self-generated. When regulators, auditors, or your own board ask what your AI did and why - "our vendor says so" isn't an answer. It's a liability with a countdown.

We built the infrastructure layer that changes this. A methodology protected by 115+ patent-pending applications that produces a tamper-evident, independently verifiable record of every AI action, what model ran, what governance boundaries applied, what the output was. Not a dashboard. Not a report. A cryptographic receipt your own auditors can validate, without asking us to be in the room.

Sovereign deployment is part of how we do it. AI that runs on hardware you own, in your facility, under your control so the governance layer we build over it is one you actually control end to end. We don't replace your team. We build with them, stay until the system runs, and leave you with infrastructure that is yours in every sense.

Independently verifiable governance

Every AI action produces a cryptographic receipt. Your auditors can verify compliance without relying on our documentation or our continued cooperation.

Your data never leaves

Every query, document and output stays inside your network perimeter. GDPR, HIPAA, SOC 2, your compliance team stops worrying.

Sovereign infrastructure

No usage fees. No API costs. No vendor dependency. Your AI runs on your servers, in your building, on your terms, with governance you own end to end.

Proof, not promises

Compliance-by-trust is a vendor's answer. Compliance-by-proof is ours. The distinction matters when a regulator, a board, or an incident responder asks what your AI did and why.

The People Behind the Build

Veteran professionals. Real experience.

No junior analysts running your deployment. The people who designed the system are the people who build yours.

★ 115+ Patent-Pending Applications Our proprietary governance and verification methodology is protected by 115+ patent-pending applications filed with the United States Patent and Trademark Office, spanning AI governance proof systems, zero-knowledge sovereign identity, device integrity verification, blockchain-anchored audit trails, quantum-safe provenance, federated intelligence monitoring, physical AI governance, advanced mathematical forensics, semantic integrity and deception detection, and temporal verification services. The foundation is built. The IP is filed. The standards layer is real.
Joe Quenneville

Joe Quenneville

CO-FOUNDER & CEO

Joe Quenneville is the Founder and CEO of AI Standards, bringing over 35 years of technology leadership to a single conviction: nearly every AI failure, risk, and low-quality result traces back to the absence of standards. Since starting his career in 1990, he has watched every technology that achieved lasting success do so on a foundation of technical and operational standards. Enterprise-grade AI has arrived without them, creating chaos and widespread security exposure. Joe sees that gap as a significant global opportunity, and he leads a team built to capture it, drawing on decades of leadership across enterprise technology, cybersecurity, and compliance. Today he channels that operator discipline and security expertise into creating and bringing to market standards-based AI, so organizations can own their infrastructure and capture the promise of AI at a fraction of the risk.

Fran Horvath

Fran Horvath

CO-FOUNDER & CVO / CHIEF VISION OFFICER

Fran Horvath identified the AI governance gap before the market had language for it—and designed the systems to close it. She architects the strategic, operational, and financial frameworks behind AI Standards’ deployment model, translating patent-protected technology into enterprise-ready infrastructure. An active builder in the XRPL community, Fran brings cross-chain fluency and decentralized identity expertise to every engagement. She oversees business development, partner strategy, and the end-to-end deployment framework.

Anwesh Rath

Anwesh Rath

CO-FOUNDER · CTO & CHIEF SCIENTIST

Architects and builds the platform end to end - sovereign model stacks, governed inference, and the cryptographic governance layer (weight-integrity seals, tamper-evident lineage) that lets organizations prove exactly what their AI did and didn't do.

Questions for Enterprise AI Leaders

The things worth asking out loud.

Strategy

"Will the AI strategy you signed off on still be standing in three years, powered, affordable, and actually worth what you're paying for it?"

Power Risk

"When your AI vendor's data center can't get enough power to keep your models running, do you have a Plan B or just their apology email?"

Grid Competition

"Your AI vendor is bidding against your own employees' homes for electricity. Who loses that auction first, the data center, or the neighborhood?"

Environmental

"Can you put your name on an AI strategy that's quietly burning more natural gas than your last three manufacturing plants combined?"

Cost

"You budgeted $2M for AI this year. What happens to that number when your usage doubles and your vendor's per-token price doesn't move?"

Output Quality

"If your engineers spend more time fixing what the AI got wrong than doing it themselves, is that AI or is it overhead?"

Get Started

Ready to ask the hard questions?

A 45-minute discovery call. No pitch deck. Just the right questions about your AI strategy and you deciding if you like the answers.

Schedule a Discovery Call → Read the FAQ