Applied research into how software gets built, automated and operated — folded back into the products we ship and the tools we open source.
R&D at UTMIQ is a discipline, not a slide. Three things guide it.
We don't do research for its own sake. If it doesn't make our tools, our clients' systems, or our open source work better, we don't call it research.
Where we can, we publish what we learn as open source and in writing, not as a marketing exercise.
This is a young programme inside a small company. We'd rather say that plainly than dress it up as more than it is.
Seven themes, not four services in disguise. Some are already real work; others are directions we want to grow into.
Applied machine learning and intelligent systems — how AI can be trusted with real decisions, not just demos. This is the foundation UTMIQ Agent is built on, and the direction most of our other themes eventually connect to.
Good fit for engineers and researchers working on applied AI and ML.
Sensors, edge devices and the software that ties physical operations to the systems that run a business.
Good fit for embedded, edge and IoT engineers.
Resource-efficient engineering: infrastructure sized to what a business actually needs, and automation that reduces waste rather than just headcount.
Good fit for engineers interested in efficient, sustainable systems.
How a small team runs dependable, affordable infrastructure without a dedicated site reliability team.
Good fit for infrastructure and distributed-systems engineers.
The applied research behind UTMIQ Agent: how software gets built, reviewed and maintained, and how AI can help with that safely.
Good fit for engineers and researchers working on developer tooling.
How systems that handle business and customer data — including AI agents — can be built to respect and protect it by default, not as an afterthought.
Good fit for security engineers and privacy researchers.
Making useful technology reachable for people and organisations without a dedicated tech team — the same thinking behind our Community programme.
Good fit for educators and researchers in digital inclusion.
What's active, and what's next.
Our most developed research output so far: a provider-agnostic AI coding agent, released as open source under the MIT licence.
See UTMIQ AgentWe're scoping our next research project. Details will be posted here once it starts.
A second project is on our list. We'd rather announce it once it's actually underway than promise it now.
Papers, write-ups and benchmarks, once we have them to share.
No publications yet
We haven't published papers, technical write-ups or benchmarks yet. When we do, they'll be listed here — first drafts included.
We want to work with universities, independent researchers, engineers and students on the areas above. If you have a specific question or project in mind, we'd like to hear it.
If you're an academic institution, an independent researcher, an engineer or a student and think there's something worth exploring together, get in touch. A short message about what you're interested in is enough.
