Qantix Solutions was founded on a simple belief: great data and AI consulting comes from people who've actually built and run the systems they advise on.
Qantix Solutions was built by data and AI professionals with deep, hands-on experience at some of Australia's most complex organisations — including NAB, KPMG, Wesfarmers, Metcash and Fortune 300 companies.
We've led data science and engineering teams, built pricing models that moved the needle on revenue, migrated billion-dollar data platforms, and deployed ML models into production at scale. That experience is what we bring to every client engagement.
We believe consulting should be personal, accountable and outcome-driven. We don't disappear after the strategy slide — we stay through build, deployment and adoption, until it's actually working.
We measure success by revenue uplift, cost reduction and time saved — not by the number of dashboards or models delivered. If it doesn't move the needle, it doesn't count.
We don't hand off at the strategy slide. We stay engaged through design, build, deployment and adoption — because that's where value actually gets created.
From model validation to data governance to prompt engineering — we apply the same level of rigour that enterprise environments demand. No shortcuts.
Every recommendation is grounded in what we've actually built and run at scale. We cut through the hype and focus on what works in the real world.
We work as an extension of your team — sharing knowledge, upskilling your people, and leaving your organisation more capable than when we arrived.
We build AI governance frameworks, data ethics principles and model risk management into every engagement — because trust is foundational to long-term value.
Our team has held senior data and analytics leadership roles across banking, retail, manufacturing, consulting and fintech.
Leading BI, Data Engineering and Data Science at a Fortune 300 company (~$2B Australian revenue). Delivered 80% ETL runtime reduction via Microsoft Fabric Medallion architecture.
Senior Leadership Team at a $1.5B national retailer. Built advanced pricing, churn and Bayesian models. Delivered 200% productivity increase per analyst.
Credit risk strategy, portfolio reporting and ML model development across major financial services and retail organisations.
Credit risk modelling, marketing analytics, product P&L and debt sale execution at a leading Australian fintech.
Big 4 consulting across Banking, Insurance, Telco, Healthcare and Retail. Platform architecture, credit rating models and data strategy advisory.
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