Data & AI + AI Engineering · Australia
Data & AI.
AI Engineering.
Built for real operations.
Make operational data useful and put AI into everyday workflows. For mining, process industries and businesses ready to reduce manual work.
From recovery models to customer enquiries and document processing, start with one problem and build the system around it.
Choose your starting point
Two capabilities.
One engineering approach.
Whether the challenge is in plant performance or a business workflow, connect the data, build around the process and keep the right people in control.
Mining &
Process Intelligence
Make plant data reliable and turn it into recovery visibility, model monitoring and operator-reviewed advisory.
- Data foundations & soft sensors
- Recovery Readiness & Model Validity Audit
- Constrained set-point recommendations
AI Engineering &
Workflow Automation
Connect AI to the systems your team already uses, so customer service, sales and document work require less manual handling.
- Customer enquiries & support triage
- Quote preparation & approval
- Document extraction & reconciliation
Mining & process industries
See recovery sooner.
Know when to trust the model.
Lab assays arrive after the process has moved on. Feed and equipment conditions change. A useful system must handle both, while keeping the operator in control.
Between lab results.
Combine historian signals, correctly aligned assays and soft sensors to estimate recovery and grade during processing.
Beyond a drift alert.
Check sensor health, changing ore regimes, plant stops and operator overrides to understand whether a running model still deserves trust.
Useful recommendations.
Evaluate set-point changes against grade, physical and equipment constraints. Operators review every recommendation.
Recovery Readiness or Model Validity Audit.
For plants starting with data, or those already running models. Assess readiness and demonstrated headroom using comparable states from your own plant history.
Selected references
Plant intelligence.
Workflow AI.
Explore both sides of the engineering work. Mining practitioner experience and operational AI examples, with status stated for each.
Copper recovery intelligence
Data foundations, connected stage models and operator-reviewed recommendations at an unnamed copper concentrator.
Data & AI ↗AI Engineering / In productionCustomer support triage
Email requests resolved through ERP and mailbox integrations, with traceable decisions.
Australian distribution ↗AI Engineering / ImplementedQuote Builder
Invoice-to-quote preparation with product matching, pricing and account-manager approval gates.
Sales operations ↗AI Engineering / In productionDocument intake & reconciliation
Documents turned into sourced draft entries, with conflicts flagged and a broker approving submission.
Trade & document operations ↗Engineering examples are anonymised. Mining experience is attributed to the specialist practitioner team and awaits review for external use.
How we engage
Start with one problem.
Build what matters.
Assess the problem and the alternatives. Commit to a bounded build. Support what ships.
Find the right approach.
Assess the workflow, available data and alternatives before committing to implementation. Mining and business-workflow editions are available.
Diagnostic offering in validation.
Make one system work.
A separately scoped 12-week build, from design through deployment and measurement.
Support and improve.
Monitor the workflow and use operating evidence to guide the next improvement.
Start with a conversation
Bring us the problem
you need to solve.
A recovery model you need to trust. A support inbox that consumes the team’s day. Documents and quotes that need too much manual handling.
Tell us how the work happens today, who owns it and what a useful result would look like.