A small lab, and the systems it ships.
Cogvera Labs is a forward-deployed AI engineering practice based in Perth, Western Australia. We’re small by choice, technical by trade, and built to embed inside the organisations we serve.
Most AI never reaches production. Getting it there is the job.
The gap between an impressive demo and a system a team relies on is enormous. Almost every AI initiative dies there, quietly. Bridging it takes engineers who will sit inside the work, govern from the first line of code, and leave behind something that runs without them.
We do nothing else. No platform to sell, no seats to fill: systems in production, owned by the people who use them.
Thomas Nicklin
Founder · Forward-Deployed Engineer
Thomas Nicklin is an engineer in Perth, Western Australia. He founded Cogvera Labs because the best AI opportunities inside an organisation are almost never the ones on the roadmap. They sit in the day-to-day work, visible to the people doing it and to nobody else.
Cogvera’s answer is to embed: Thomas joins the client team, opens with a 2-hour immersion, and stays for the 6–10 week build. Those weeks go to finding the highest-leverage problem the roadmap missed, then to building the system that moves it. Governance goes in early, and the data stays onshore in Australia. When the build ships, the client team takes it over, documentation and all.
Damian Mazzone
Capture Manager
Relationships are where I start every deal. My love for connecting with people has always come naturally, but it was years of hands-on project management, across public, private, and government sectors, that turned it into a real skill: capture management. I've learned that success isn't just about strategy and process, it's about listening first, understanding what people actually need, and building the kind of trust that turns a first conversation into a lasting partnership. Different sectors bring different cultures and priorities, but the approach stays the same: people first, results follow.
Ruoyu (James) Wang, MSc
Principal Systems Scientist · MD-Candidate
I've always been passionate about research and the pursuit of discoveries that can improve patient care. Working across biomedical and clinical research has reinforced my belief that meaningful innovation comes from combining scientific curiosity with practical solutions.
I see AI as the next frontier in advancing medical research. By helping researchers analyze complex data, uncover new insights, and accelerate discovery, AI has the potential to fundamentally reshape how we develop the next generation of diagnostics and treatments.
Four commitments.
In the work
We find problems from the inside, where briefs can’t see. Proximity is the method.
Governed from day one
Set at the first commit: onshore, isolated, zero-retention.
Only production counts
If it isn’t in production meeting the real workflow, it isn’t done.
Yours to own
We hand back a documented system your team runs; nothing locks you to us.
Perth, mostly.
Headquartered in Western Australia, building for teams across the country and beyond. The data stays onshore; the engineers deploy forward.
Bring us a problem.
The first session is two hours with your team, on the real work.