Operational intelligence that connects shift activity, engineering knowledge, and operational risk into a single searchable system.
Every shift handover, hazard observation, process decision, met data entry, and lab result — captured digitally with AI assistance. Voice dictation for plant floor use. Quality scoring on every entry. Fully searchable history across all crews and shifts.
AI agents reason across shift logs, process data, documents, equipment status, lab results, and safety records simultaneously. Pattern recognition, root cause analysis, predictive intelligence, and financial impact — not just charts.
Process instructions pushed to the right people with formal acknowledgement and competency verification. Corrective actions tracked from investigation to closure. Met reports generated with recommendations ready for the weekly meeting.
The platform builds operational intelligence over time. Every shift logged, every investigation completed, every pattern detected compounds into an operational memory that makes the site smarter with every cycle.
OreIQ Ask is the most advanced operational intelligence interface in mining.
Type a question in plain English. The AI searches across shift logs, process data, documents, equipment status, and safety records simultaneously. It doesn't just retrieve — it reasons. Root cause analysis, pattern detection, trend correlation, and recommended actions returned in one structured answer.
Why did recovery drop last week?
Recovery fell 2.1% week-on-week, concentrated on night shift. The drop correlates with pH excursions in the leach circuit during low-dosing windows.
Sources: Shift logs (3), Met data, Process optimisation
This is not a chatbot. This is compound operational intelligence.
Every shift creates intelligence. Every briefing uses it. Every instruction closes the loop. Anomalies detected in Intelligence surface as hazards in Safety. Investigations feed back into operational learning. Nothing falls between the cracks.
Not generic AI. Purpose-built operational intelligence trained on metallurgical and mining workflows.
12-step agentic pipeline that generates board-level metallurgical reports from real plant data. Previous-period comparison, industry benchmarks, root cause hypotheses, predictive flags, financial impact analysis, and data gap detection. Reports that took hours now take minutes.
Real-time AI guidance on the plant floor. Four specialist agents (safety, procedure, operational, general) with an orchestrator that routes each question to the right expertise. Grounded in your site's own procedures and current conditions. Emergency intercept for critical situations. Voice input. Multilingual.
An 18-step pipeline with scenario modelling across any circuit type. Conservative, balanced, and aggressive scenarios each with AU$ financial projections. Reagent recommendations, circuit parameter tuning, shift pattern analysis, ore variability assessment, and week-by-week implementation plans. Counterfactual analysis shows what recovery would have been under optimal settings.
16-step ICAM investigation pipeline. Evidence pulled automatically from shift logs. Timeline reconstruction. Contributing factor analysis across five categories. Bow-tie risk modelling. Regulatory compliance assessment. Document gap detection. Recurrence prevention recommendations by timeframe.
20-step pipeline generating morning intelligence for every role. Three versions — Mine Manager (executive, financial context), Metallurgist (full technical detail), Operator (plain language, safety-first). Priority statement, comparison to yesterday, and smart notification routing to the right person.
AI analyses shift and maintenance history to score equipment failure risk from 0–100. Days-to-failure estimates, predicted failure reasons, maintenance window suggestions, and production impact estimates. Flags equipment trending toward failure before it happens.
Identifies recurring hazard patterns across 30, 60, and 90-day windows. Detects systemic issues that are escalating, stable, or improving. Turns a backlog of daily hazards into a board-level safety action plan.
Splits operational history into three 30-day windows and identifies problems getting worse over time. Equipment failures, location patterns, shift-type correlations, and estimated downtime attributable to each issue.
Forward-looking risks generated from current KPI trends, open hazards, and downtime patterns. Each flag includes risk description, timeframe, recommended action, and urgency.
For every underperforming KPI, the platform generates ranked hypotheses with probability scores and supporting evidence from shift and process data.
Every performance gap is translated to dollars. Recovery shortfall, downtime cost, reagent inefficiency — all quantified in AU$ automatically. A 1% recovery improvement is shown in tonnes and in revenue.
OreIQ doesn't just show you data. It shows you money. Every performance gap, every downtime event, every recovery shortfall is quantified in dollars so the weekly met meeting starts with impact, not spreadsheets.
Digital handovers with AI hazard detection and voice dictation.
Every shift across every crew, instantly searchable.
Push procedures with formal acknowledgement and competency checks.
Q&A across all SOPs, procedures, and reference material.
Daily inputs with auto-calculated recovery.
Reconciled metal accounting across the circuit.
90-day trends, financial toggle, and AI insights.
Live hazards, scores, and pattern detection in one view.
Smart routing of alerts to the right person.
Request tests, track turnaround, capture results into met data.
OreIQ ships with deep built-in knowledge for gold, copper, nickel, zinc, and lead processing — including tailored benchmarks, reagent models, KPIs, and optimisation levers for each circuit type. But the platform isn't limited to these. OreIQ's process model architecture configures to any mineral processing circuit. Your metallurgist defines the levers, the targets, and the constraints. The AI adapts to your operation — not the other way around.
AI analyses, reasons, and recommends optimal operating parameters. The metallurgist reviews and decides. Shift instructions generated for operators.
Metallurgist approves a recommendation with one click. OreIQ sends the setpoint change to SCADA via OPC-UA. The system monitors the response and reports back. Human approved — OreIQ executed.
OreIQ monitors in real time, detects drift from optimal, and adjusts setpoints automatically within pre-approved bounds set by the metallurgist. Safety-critical parameters always require human approval.
The roadmap from operational intelligence to operational control. Each tier builds on the one before it. Every site starts at Tier 1 and progresses when they're ready.
Twenty minutes is enough to show you what gets lost between shifts — and what happens when it doesn't.