MineCortex
MineCortex consolidates operational data across equipment, production, and planning, and turns it into recommendations the operations team can act on during the shift instead of a report read after it.
Built by the engineers who commission the systems it runs on. See what we build
Visit MineCortexOperational intelligence and decision support for mining
Mining operations generate large volumes of data across equipment, production, and planning systems, but most of it never reaches the people making daily decisions. It sits in separate systems, arrives too late, or requires manual reconciliation before anyone can trust it.
MineCortex brings those sources into a single operational view and applies analysis on top of it, surfacing the patterns, constraints, and risks that matter at shift level. The emphasis is on recommendations an operations team can act on immediately, with the underlying data traceable behind every one.
Inside MineCortex
Unified operational view
Bring equipment, production, and planning data into one decision-ready picture of the operation.
Anomaly and risk detection
Identify equipment and process deviations early, before they turn into unplanned downtime.
Output forecasting
Anticipate throughput and constraints so capacity can be planned against evidence rather than estimate.
Shift-level recommendations
Give teams explainable, auditable guidance they can act on within the current shift.
How we deploy it
- ›Integrates with existing plant sensors, historians, and reporting systems
- ›Every recommendation is traceable to the data that produced it
- ›Deployed with data pipeline engineering, not delivered as a bare dashboard
- ›Supports on-premise deployment where site connectivity is limited
Industries
- ›Mining & mineral processing
- ›Heavy industry
- ›Infrastructure operations
Frequently asked
What data does MineCortex need to be useful?
It works with the operational data most sites already produce: equipment telemetry, production records, and planning data. Part of our deployment work is building the data pipelines that make those sources reliable enough to base decisions on.
Are its recommendations auditable?
Yes. Mining operations are audited environments, so every output traces back to the source data and the reasoning behind it. Recommendations are explainable rather than opaque scores, which is what makes a shift supervisor willing to act on them.
Discuss a project with our engineers
Our engineering team is available to scope new projects, evaluate retrofits, and review system requirements.