Data Miners builds the full chain — collection, storage, cleaning, modelling, forecasting and the interface someone actually uses. We work where the numbers are large, the reporting cycle is unforgiving, and being approximately right is not good enough.
Enterprise finance platforms, AI voice systems, government consultation, field operations. Different industries, one discipline: reconcile the data properly, then make it usable.
A governed forecasting platform reconciling actuals, budgets and rolling end-of-year forecasts across every cost centre in the business.
~$2bn operating budget · 100+ cost centres View project →A purpose-built ZBB application stitching multiple plan versions, historical baselines and reported actuals into a single reconciled view.
6+ years stitched · 100+ cost centres · 6 expenditure categories View project →
AI-powered expense management for 200+ employees. Multilingual receipt scanning, voice notes in native dialects, offline-first mobile capture and ERP integration.
200+ employees · 100+ languages · NetSuite View project →
AI-powered receptionist and marketing platform for Australian small businesses. 24/7 call handling, auto-generated websites, integrated CRM and multi-channel marketing.
24/7 call handling · multi-tenant SaaS View project →
Sovereign public consultation platform with voice feedback in 100+ languages, AI sentiment analysis, integrated CRM and full Australian data sovereignty.
100+ languages · AU data sovereignty · WCAG 2.2 AA View project →Real-time security guard management with live GPS tracking, NFC checkpoint verification, AI incident reporting and offline-first patrol recording.
1-min GPS · ~8h offline buffer · NFC verified View project →
AI-powered building maintenance detection. Multilingual voice reporting, automated trade categorisation and intelligent issue clustering for commercial cleaning.
Any-language voice reporting · trade clustering View project →Analytics without engineering produces dashboards nobody trusts. Engineering without analytics produces pipelines nobody uses. We build both halves, which is why the numbers hold up under scrutiny.
Governed models, reconciled to source, tested on every deployment. The unglamorous half that decides whether anyone believes the output.
Forecasting, machine learning, computer vision and language models — applied where they measurably beat the existing process, not where they demo well.
Architecture, engineering, science and BI. The pipeline from raw source through to a number someone can act on.
See what we do →Work and shutdown management, reliability engineering, NDT analytics and predictive maintenance.
See what we do →Process mining, optimisation, labour and parts modelling, and the reporting structures that make decisions stick.
See what we do →Mobile, web and desktop applications, simulations, complex algorithms, and image and video processing.
See what we do →We have delivered end-to-end solutions and custom modules across sectors where the data is messy, the stakes are financial, and the domain matters as much as the maths.
Cost forecasting, shutdown planning, reliability and asset health at tier-1 scale.
Ledger automation, reconciliation, forecasting and algorithmic trading systems.
Sovereign consultation platforms, multilingual engagement and public reporting.
Diagnostic imaging, laboratory analysis and clinical research tooling.
Atmospheric modelling, shading analysis and generation forecasting.
Vibration, hydrocarbon, conveyor monitoring and field operations platforms.
Thirty-eight write-ups covering the techniques, the trade-offs and the results.
Whether it is reconciliation, forecasting, document processing or a workflow nobody wants to do by hand — tell us the problem and we will tell you honestly whether it is worth automating.
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