Argus Mine reconciles the evidence from planning, the block model, survey, material movement, grade control and the plant; it tells expected variation apart from material deviation, and expresses it as financial exposure with its level of confidence. One mining intelligence, seen from three levels: strategic, tactical and operational.
Not three systems, and not more dashboards. Each level answers a different question about the same mine reality, and each one leads to the next: from financial exposure to the case that explains it, and from the case to the evidence behind it.
Where is the value of our assets exposed, and what is the potential impact on the business?
Which material deviations need attention, investigation and follow-up?
What does the original data show, and where do the sources disagree?
For example, a difference between the block model and what reached the plant:
Job titles — management, geology, planning, finance — set each person's permissions, responsibilities and preferences. They do not define the structure of the product.
From the 3D engine with the whole mine to the potential economic impact: what Argus Mine does, in one minute. Narrated in English, with subtitles.
Recorded on the platform with demo data.
The engine behind the three levels combines geospatial intelligence and artificial intelligence. What it does:
Continuously cross-checks mine information coming from different sources, none of which confirms another.
Compares 3D surfaces from design, survey and satellite against the block model, bench by bench, and places each deviation on the site map.
Builds each site's own normal behavior and uncertainty from its history.
Every reconciled period adjusts that model as the mine advances and changes.
Tells expected variation apart from deviation that may be material to the business.
Expresses each deviation as financial impact with the confidence of the measurement behind it, and projects the next period with its uncertainty band.
An AI model drafts the analysis of each period and the board report, and proposes which stage of the process each deviation should be attributed to. The figures are always calculated by the engine: the AI does not make them up. It runs inside the platform, without sending site data to external services.
An AI assistant answers in English, Spanish or Portuguese about factors, tonnes, NPV and deviations at each site, using the platform's figures.
Today it follows each deviation through to its actual result. It is designed so that investigated and verified results improve knowledge of the asset, and that capability will be demonstrated site by site through technical validation.
The difference between what was planned and what was executed —dilution, overbreak, sequence delay— doesn't disappear when nobody measures it: it accumulates, silently, until period close. Argus Mine turns it into an NPV figure, period after period, while there's still time to act.
Every mine site operates with a gap between the planned design and what actually happens on the ground. That gap always exists; the risk isn't that it exists, but that today it's detected late — at quarterly reconciliation, at period close, once the cost has already been taken.
You don't protect a mine site's value with more reports. You protect it by watching the gap between plan and reality before it becomes a loss.
An unreported overbreak, a dilution that grows unnoticed, a sequence delay that worsens month after month: individually, they're operational noise. Accumulated over a quarter, they're an NPV adjustment nobody can reverse anymore.
The goal isn't to document how much value has already been lost. It's to show, period by period, how much value is still at risk and how much of it is recoverable if you act in time.
Reconciliation latency turns an operational deviation into growing economic exposure — every day a problem goes undetected or unresolved, the value at risk keeps accumulating.
more exposure between day 1 and day 21 unresolved, in this example
Illustrative example of how exposure grows while a deviation remains unresolved — not data from a real site.
| Day | USD |
|---|---|
| 1 | $0.8M |
| 3 | $1.9M |
| 7 | $3.2M |
| 14 | $4.8M |
| 21 | $6.7M |
Closing the gap between detecting and resolving a problem is, itself, an operational KPI.
Argus Mine is not a collection of dashboards. It is the chain that connects mining evidence to financial risk, and to whoever has to manage it.
Design, block model, drone or laser survey, satellite, grade control, dispatch and plant: each source measures on its own.
The sources are cross-checked: F1, F2 and F3, dilution, ore loss, waste and material flows, with what cannot be measured declared as such.
Each mine has its own normal range, learned from its history and updated every period, to separate expected variation from material deviation.
Each material deviation is translated into NSR and NPV, with its uncertainty, separating what was lost from what was only delayed.
The deviation becomes a case with an owner, actions and verification against the next period's actual result.
Geology, planning, survey, operations, plant and finance keep working with their own tools. Argus Mine connects and reconciles what each one delivers, to build an integrated understanding of the mine's reality.
Grade, density, destinations and NSR per block, versioned, exactly as they come out of Vulcan, Datamine, Deswik, Surpac or Leapfrog.
Each period's designs and each phase's final design: what was planned, and where.
As-built surveys from drone, laser or GPS, and satellite elevation models between flights.
Blast-hole samples with their quality control, against the model grade.
Material movement from each phase to waste dumps, stockpiles and the plant; exact when dispatch data is available.
Independently measured feed, the only valid basis to compare the plant against the mine.
Discount rate, valuation date and site costs declared with their source, to value each deviation.
Sentinel-1 radar, ICESat-2 altimetry and satellite elevation models as independent verification.
It runs in the cloud or on the company's own infrastructure, and works on the data the site already produces.
We don't sell time savings. Argus Mine translates every spatial deviation into economic impact, period by period, so the decision is made while it can still be corrected.
Monthly reconciliation is common industry practice. Argus Mine recalculates the period as soon as a new survey arrives: the cycle is set by the site's survey cadence, not by month-end close, and a drill-and-blast deviation can be corrected on the next shift.
We don't publish generic improvement percentages: they depend on each site, and each site is measured against its own baseline.
A simple estimate, not a promise: adjust your operation's parameters and see the order of magnitude of value that closing your reconciliation gap could represent.
Illustrative calculation based solely on the values you enter — not a financial projection or contractual commitment.
Modify the excavation boundary for the next period
Illustrative scenario with example figures to show the product flow — not real customer data.
This isn't a product hunch. Mining engineering literature has documented for years that reconciliation shouldn't stop at comparing tonnes and grades — and that delays in detecting losses and dilution have measurable consequences across the entire mine-to-mill chain.
Independent academic studies cited as industry context — not Argus Mine customer case studies.
Argus Mine is a Predictive Mining Intelligence Platform (PMI) for metal mining — copper, gold and polymetallic operations, open pit and underground. It reconciles what was planned (mine design and block model) with what was actually executed (as-built surveys, satellite monitoring, material movement and the plant), learns what normal means for each mine and translates every material deviation into tonnes, grade, NSR and NPV, on three levels: strategic, tactical and operational.
For the mining company at its three levels of decision: senior management, which needs to know where value is exposed; site management, which manages material deviations; and the technical teams — geology, planning, survey, grade control, operations, processing and finance — that provide and review the evidence. Every deviation is attributed to the stage of the process where it originated, so it gets investigated by whoever can fix it.
Three widely used reconciliation factors whose definitions vary between companies; Argus Mine declares its own. F1 (mine vs. plan) measures whether the design was mined as intended; F2 (plant vs. mine), whether what was mined reached the plant; and F3 (plant vs. plan), how well the block model predicts what is actually processed. This separates operational accountability from geological accountability.
Mine designs in DXF, as-built topographic surveys in DXF or GeoTIFF (for example, from drones) and the block model with grade and NSR per block. Optionally, grade control samples to refine grades and measured plant tonnage for an independent F2.
No. Argus Mine works on top of the designs and block model your planning and modelling software already produces. It does not estimate resources or classify reserves (JORC, NI 43-101); it provides the actual production evidence that classification needs to stand over time.
That it uses no generic thresholds: it learns each mine's normal range from its own history, updates it with every reconciled period and projects the next one with its uncertainty band. That is how it separates expected variation from material deviation. It is designed to improve with the results that are investigated and verified; that capability is demonstrated at each site through technical validation, not through accuracy promises.
Every day a deviation goes undetected, unexplained, or unresolved, the value at risk keeps growing. Start by seeing it.
No commitment.