Understand reality
What is actually true on the ground, not what the brief says.
Remove assumptions
Most problems shrink once the inherited assumptions are stripped out.
Design the system
A system, not a project. Systems keep producing outcomes after we leave.
Execute relentlessly
If it doesn't ship, it doesn't count. If it doesn't work, it doesn't count.
Measure outcomes
Honestly. Including when the answer is uncomfortable.
No hype. Just outcomes.
NOMARK is a rejection of how most businesses market themselves. We work with operators who need the outcome to be right the first time: fund managers, insurers, regulated businesses, and the teams building inside them. The form changes; the belief doesn't.
Selected work
05 shipped- 01
Released the NOMARK SDK
an open-source engine that learns how you reason from your AI history and tells every model you use how to answer. Live at nomark.ai.
- 02
Shipped fund-flow analytics for an Australian fund manager
white-labelled, live through their standard reporting cycle, and operated by their own data team.
- 03
Released Sigil
an open-source security scanner that catches malicious packages before their install hooks ever run. Free at sigilsec.ai.
- 04
Built and shipped Exectables
a private bench of retired senior Australian investment-operations professionals, available by the hour for structured mentorship and advisory. Live at exectables.com.
- 05
Founded Operable and designed the Enclave
a knowledge graph for Australian fund managers that runs entirely inside their own perimeter, so sensitive data never leaves it.
- Most companies sell certainty.
- NOMARK seeks truth.
- Most companies sell potential.
- NOMARK delivers outcomes.
- Most companies want attention.
- NOMARK wants results.
Recent thinking
- / 01
The Safe Way to Use AI in High-Stakes Work
A safe AI deployment begins by narrowing the job. That is the clearest lesson in the Superior Court of Québec's evaluation of its 98-day artificial intelligence pilot, published in April 2026. The pilot involved 22 judges and nine specialised AI agents. The court did not ask the systems to exercise judicial judgment. It restricted them to preparatory and support tasks, required judges to verify every output, and kept the deployment inside a secure institutional environment. The design also in
- / 02
The Safe Way to Use AI in High-Stakes Work
TL;DR: The Superior Court of Québec ran AI with 22 judges for 98 days and kept every decision with the judge. It worked because the court narrowed the job first, then verified every output, evaluated the use, and kept the deployment reversible. * Limit AI to preparatory and support tasks. Leave judgment with a human. * Require the reviewer to verify every output. * Evaluate the work around the model, not only the adoption figures. * Name the stop conditions before launch. A safe AI deploym
- / 03
Your AI Outage Is a Business-Continuity Event. Design For It.
TL;DR: Two of the three AI outages on 3 September 2026 shared one hidden dependency, and nobody could see it while it was happening. Treat AI outages as business-continuity events. Give every AI-dependent process a named owner, a written degraded mode and a recovery time you have actually tested. What is the short answer? * A second AI vendor does not protect you if both vendors sit on the same infrastructure. * Ask four questions about each AI-dependent process: what stops, who owns the fa
- / 04
The ops debt machine: what Meta's AI agent collapse teaches about activity versus output
TL;DR: Meta's AI agents produced 220% more code. Users got 36% more features. Incidents rose 40%. Firefighting time rose 70%. Eight thousand people were let go, and the model still underdelivered. The failure was sequencing, not the technology. * Output and outcomes separated. More code did not mean more value reaching users. * Human capacity was removed before machine capacity existed to replace it. * The plan leaked before vice presidents were briefed. Morale dropped 19 points. * The corr
Studio
NOMARK operates a small portfolio of products built against the same philosophy. Some are open source, some deploy inside a single client's perimeter, some are live for anyone: security tooling, fund-manager infrastructure, fund-flow analytics, bookkeeping, preference inference. Different vehicles. Same belief.
Contact
The outcome is the proof. Everything else is noise.
The fastest way to reach us is email. A short note describing the problem is more useful than a meeting request.