A firm built for what comes after the pilot.
Aurum Quanta is a Sydney-based boutique AI-focused software engineering firm. We build AI-driven systems where the answer comes from learning patterns in data (LLMs, classifiers, forecasts), and rules-based systems where the answer follows defined logic (APIs, data pipelines, rule engines).
Aurum Quanta exists because most production systems fail for reasons that have little to do with whether they use AI. They fail in the systems around them: data pipelines nobody planned for, integrations nobody hardened, drift or staleness nobody monitored, handovers that never happened. We engineer for those failure modes from day one, AI-driven or rules-based.
Aurum Quanta Pty Ltd is a registered Australian company with an ABN. The firm is small on purpose, and the work is senior by default.
Four principles.
Boring beats brilliant.
A system you can monitor, retrain or roll back is worth ten that almost work. We choose architectures that survive contact with production, even when something more ambitious would look better in a slide deck.
Show your working.
Every system decision comes with a reason. For AI-driven systems that's SHAP values, confidence intervals, and a regulator-ready audit trail; for rules-based systems it's explicit logic and execution logs. You should never have to take a system on faith. The alternative is a postmortem six months later when something important goes wrong.
Ship in weeks.
Long projects rot. We scope tightly, deliver the smallest useful version first, and iterate from there with you involved in every review.
Hand it back cleanly.
Documented code, your repositories, your cloud accounts, and a runbook a new hire on your team can operate from. The handover should leave your team self-sufficient, even if you decide to keep us on retainer afterwards.
Plain engineering.
Fixed-fee pilots where possible.
Written scope and price before you commit to anything. If a pilot misses its targets, no production phase, no further cost.
Short cycles.
A working pilot on real data in two to four weeks. Production handover in four to ten. No black boxes for months on end.
Senior hands only.
The person scoping the work is the person doing the work. That rules out offshore pass-through, junior substitution, and engagement managers billed at senior rates.
Honest measurement.
Metrics agreed in writing before we build. Metrics re-run after. If we were wrong, we say so.
Operating businesses.
Aurum Quanta is built to engage with small, mid-sized and large businesses that have to operate every day: retailers, financial services firms, education providers, and professional services firms. We also take subcontract work for federal, state, and local government agencies under prime contractors that hold the relevant panel and IRAP certifications. The engagements we're scoped for typically start with a Head of Data, CTO, or operations lead who has tried AI elsewhere and wants engineering discipline applied to it. The full list of sectors and the engagement model for each is on the Services page.
We won't take engagements where a vendor is asked to own outcomes without an internal sponsor, projects scoped as “prove AI can do this” without a business case behind the question, or engagements where the only success metric is a slide deck.
Accountable to the work.
Aurum Quanta was founded by Alexander Burfoot, a software engineer with degrees in Computer Science and Finance from UNSW. Prior work spans quantitative research and production trading systems at Alpha Point Capital, financial risk modelling at Deloitte, and data pipelines and platform engineering for the New South Wales Government.
The firm was founded to bring production engineering discipline to software work, AI-driven or rules-based, without the slideware overhead that usually accompanies it. One name picks up the phone, signs the contract, and stands behind what ships.
Australian, in practice.
Aurum Quanta Pty Ltd is an Australian proprietary limited company, registered in New South Wales. Company details, ABN, and data handling practices are set out on the Privacy page.