You've
sat in that meeting.

A $500M+ online marketplace. 32,000+ SKUs. A P&L that is bleeding $60M annually.

Nobody could answer the question that actually mattered: which products are profitable, which ones are being subsidised by the ones that are, and which ones are destroying margin? In a marketplace operating at scale and pace, the inability to answer that question is an existential problem.

We built a bottom-up profitability model across the full catalog. Separated short-term margin opportunities from longer-term category plays, so the commercial team could make informed decisions, confidently.

32,000+ SKUs modelled. Margin uplift opportunities ranked and ready to act on. No six-month BI project. No waiting.

A $30M precision manufacturer had done the conference circuit. Their leadership team was convinced AI could move the business forward. Their data infrastructure was not ready.

They were about to invest in analytics tooling that would fail, not because the tools were wrong, but because no one could be sure what to measure.

We ran a three-day on-site business intelligence readiness assessment. Mapped the actual data landscape: what existed, what was reliable, what was missing, what needed to change before any investment would pay off.

Delivered in 3 days. Do this now, fix this first, stop spending money on that. No six-month scoping engagement. No slide deck full of caveats.

Australia's future in the global economy runs through one pipeline: kids who grow up believing they can build things. Not just kids from the right suburb or the right school. Kids from everywhere, who've never seen themselves reflected in an engineering career.

We founded a start-up to close that gap. Curriculum-aligned robotics programs, live in Victorian schools and industry settings. Building something like that at scale is slow. Hardware iteration, software, instructor training, delivery logistics. Traditional leadtimes don't survive in the fast pace of technology evolution.

We used AI tactically across every stage: content creation, test planning, design iteration, delivery documentation. Not AI as a talking point, but AI as an actual operational tool in the hands of 14 interns we trained to use it properly. Five hardware generations. A repeatable delivery model.

1,000+ students reached across Victoria. Engineers, scientists, and creators who didn't yet know they were. We know this method works because we proved it on ourselves first.