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ARAGS and the University of Alberta: Bringing Formal Research to AI Governance

Every so often something happens that tells a young company it is onto something real. This week, ARAGS reached one of those moments: we have been paired with the University of Alberta to begin formal research into AI governance.

I want to be honest about how this feels from the founder's chair — it is genuinely exciting. ARAGS is a new company. We have spent the last stretch building, shipping, and proving that our ideas hold up under real conditions. To now have a research university take an interest in the questions we have been wrestling with, and want to study them formally, is a different kind of validation than a product milestone. It says the questions themselves matter.

WHY THIS MATTERS AI governance is being invented in real time, mostly behind closed doors. Putting it in front of formal, peer-reviewable academic research is a different standard of rigor entirely — and a rare step for a company as young as ARAGS.

How This Came Together

The pairing came out of the Edmonton Region Research Collaboration Day, an initiative run through the local innovation network to connect companies with academic researchers. ARAGS was matched with a researcher at the University of Alberta, we found an immediate overlap in what we were each thinking about, and we have now signed an engagement to scope a formal research collaboration together.

That is the part I find most encouraging. This was not a cold pitch. It was two parties looking at the same hard problem from different angles — one from production, one from research — and recognizing there was something worth studying properly. Alberta has been building real momentum around AI and healthcare innovation, and it is a good feeling to be part of that as a homegrown company.

Why Governance, and Why Now

Of all the things a young AI company could put under the research microscope, why governance? Because it is the question that decides whether agentic AI earns a place in serious environments like healthcare at all. Capability is no longer the bottleneck. Trust is. And trust is a governance problem.

Most of the thinking on how to govern autonomous AI is happening privately, inside individual companies, with no outside scrutiny. That is exactly the kind of problem that benefits from formal academic treatment — independent researchers asking hard questions, testing assumptions, and contributing to a body of knowledge that does not belong to any single vendor. We think the approach to governance we have developed is strong. Research is how you find out whether you are right.

A note on the technology:
ARAGS is built on Google Cloud and on the open agent protocols Google has helped put forward — including the Agent-to-Agent (A2A) protocol. Part of what makes this collaboration genuinely novel is examining how governance can be layered onto and adapted within those open standards. This is independent research and does not imply endorsement by Google.

What the Research Could Look Like

We are at the very start, so the specifics are still ahead of us — the first job is to work with our research partner to shape the broad challenge into a focused, properly researchable question. That translation from an industry problem into an academic one is the researcher's craft, and I am looking forward to watching it happen.

What I can say is the shape of it. The collaboration begins with a scoping phase over the summer: defining the question, assessing feasibility, and mapping out what a larger, funded research effort would look like. ARAGS brings the production system as a working baseline — a live, real-world reference point rather than a whiteboard hypothesis — and the university brings the rigor, the methods, and the independence to study it honestly.

The Outcomes I'm Excited About

It is early, but it is worth saying out loud what success could look like — because the possibilities are a big part of why this is exciting.

Peer-Reviewed Work
Independent rigor
Governance ideas examined and published through formal academic review, not vendor marketing
Students on Real Problems
Talent and contribution
Graduate researchers working on a live, consequential question rather than a synthetic one
A Foundation to Build On
Beyond ARAGS
Knowledge other builders can learn from as agentic AI moves into regulated industries

The Funding Pathway

Because we are already matched as an industry-academic pair, this engagement is effectively an on-ramp to the programs that fund collaborative research in Canada — MITACS, the Natural Sciences and Engineering Research Council (NSERC), and the National Research Council's Industrial Research Assistance Program (IRAP). The summer's work is what positions a strong, specific application to one or more of those programs.

There is something fitting about that. A young Alberta company, building on open standards, partnering with a public university, and pursuing public research funding to study a problem that matters to everyone moving into this space. That is the kind of collaboration the system is designed to produce, and we intend to make the most of it.

The Founder's View

I started ARAGS because I believed governance — real, structural, verifiable governance — was the missing piece that would let autonomous AI be trusted in places where the stakes are high. To now have a research university willing to interrogate that belief formally is, frankly, the kind of thing I hoped for but did not expect this early.

We will share more as the collaboration develops over the coming months. For now, I am simply excited — about the partnership, about the questions ahead, and about what it means that they are being taken seriously. That is a good place for a young company to be.

ARAGS is a sovereign clinical intelligence platform built on Google Cloud, with governance built into its architecture. If you want to follow the work — or put it to use in your clinic — apply for Beta Access.