From strategy to production — we cover the full stack. Every service is backed by real enterprise experience at Australia's most complex organisations.
LLMs are transforming how businesses interact with data, customers and internal knowledge. We cut through the hype and build AI systems that actually work in production.
Intelligent assistants trained on your business data — for customer service, internal Q&A, sales support or operations automation.
Retrieval-Augmented Generation lets your LLM answer questions using your own documents, databases and internal knowledge — accurately and at scale.
Getting the most out of LLMs requires precision. We design prompt frameworks, evaluation pipelines and fine-tune models for your domain.
Strategic AI planning — identifying the right use cases, prioritising by ROI, and building governance frameworks to deploy responsibly.
Connecting LLMs to your existing systems — CRMs, ERPs, databases and internal tools — so AI works within your workflow, not around it.
Automate the extraction, classification and analysis of unstructured documents — contracts, reports, invoices, emails and more.
Modern analytics goes beyond static reports. We build intelligent systems that surface what matters, predict what's next, and put insight in the hands of decision makers.
Ask your data questions in plain English. We build NL-to-SQL and AI-powered query interfaces so anyone can get answers without knowing SQL.
Compelling, actionable dashboards across Power BI, Tableau and Cognos — built to drive decisions at every level of the business.
Move from reporting what happened to predicting what's next. Forecasting and predictive models embedded into your analytics layer.
Automatically surface issues before they become problems — from revenue drops to data quality failures to operational anomalies.
Deep understanding of your customers — who they are, how they behave, what they'll do next, and how to grow their value.
Trustworthy analytics starts with trustworthy data. Governance frameworks, data dictionaries and quality monitoring built to last.
Great analytics and AI are only as good as the infrastructure beneath them. We design and build modern, scalable data platforms on Azure, Databricks, Snowflake and beyond.
End-to-end cloud data platform design and implementation — from architecture through to production deployment and optimisation.
Bronze/Silver/Gold Medallion architectures that give you clean, governed, production-ready data at every layer — with 80%+ ETL runtime reductions delivered.
Reliable, high-performance data pipelines that move, transform and load data across any environment — built for scale and maintainability.
When batch isn't fast enough — real-time pipelines using CDC and streaming architectures for near-instant insight.
Migrate off legacy on-premise data warehouses to modern cloud platforms — with zero data loss, minimal downtime and a clear path forward.
Enterprise-grade data security — RBAC access controls, audit trails, encryption and compliance with Australian data regulations.
End-to-end ML model development, from problem framing to production deployment and ongoing monitoring — with real enterprise experience behind every model we ship.
Dynamic pricing models that maximise revenue and margin — built on customer elasticity, competitor signals and demand patterns.
Identify customers at risk of leaving before they do — so your retention teams can act at the right time with the right offer.
Accurate demand forecasts across product lines, regions and time horizons — reducing stockouts, overstock and working capital waste.
Behavioural clustering and propensity models that reveal who your most valuable customers really are — and what they'll do next.
Rigorous statistical testing frameworks that give you confident answers — not gut feelings — about what's actually working.
Getting a model to production is where most teams struggle. We handle the full MLOps pipeline — deployment, monitoring, retraining and governance.
Deep expertise in credit risk modelling, regulatory compliance and portfolio analytics — built from years of hands-on work at NAB, KPMG and leading Australian lenders.
End-to-end development and validation of Probability of Default, Loss Given Default and Exposure at Default models for retail and business lending.
Application and behavioural scorecards that improve credit decisions — balancing risk appetite with growth objectives.
Comprehensive portfolio performance reporting covering billions in loan exposure — from vintage analysis to delinquency roll rates.
Scenario analysis and stress testing frameworks that help you understand portfolio risk under adverse economic conditions.
Keeping pace with APRA, ASIC and international regulatory requirements across credit risk, data governance and reporting obligations.
Data-driven collections strategies that improve recovery rates while maintaining customer relationships and regulatory compliance.
Whether you have a short-term project, a skills gap, or need to scale your data team fast — Qantix provides vetted, senior-level contractors who hit the ground running.
Most engagements staffed within 1–2 weeks, not months. We move quickly because your project timeline matters.
Every contractor is assessed for technical depth and business acumen — no junior placeholders.
Short-term projects, ongoing retainers, or full team augmentation — we structure around your needs.
Roles We Place
ETL, Databricks, Azure Fabric, Snowflake pipelines
LLM integration, model development, MLOps
Predictive modelling, segmentation, experimentation
Power BI, Tableau, DAX, semantic modelling
Team leadership, strategy, stakeholder management
PD/LGD/EAD, scorecards, regulatory compliance
Tell us about your project and we'll respond within one business day.