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Use cases

Mining problems, solved from plan to finish

A mine is a chain of decisions, and the value is in the chain holding together. These are real problems carried end to end across the platform — one governed dataset, one thread of evidence, from the first drillhole to a compliant closure record.

01Explore&samplePlato GISGeoChem Scientist02Capture&governData Hub03Model&estimateGeoMine Scientist04PlanthepitOpen Pit Planning05Ground&waterGeoTech ScientistMine Dewatering06Mine&reconcileGrade Control07Store&assureTailings ScientistShared foundation — one map, one governed data backbone, one certified compute layer, one AI layer
One governed estate across the mine — every stage works the same drillholes, projects, and records, not seven disconnected packages.

A real problem

Each scenario starts from a problem a technical team actually has to solve — not a feature to show off.

Carried across modules

Follow the problem from module to module, each one consuming the artifact the last one produced.

To a defensible outcome

It ends in a result a reviewer, a board, or a regulator can trust — with the value stated plainly.

01

Copper porphyry · exploration to resource

From first drillhole to a resource you can defend

The problem. A junior explorer has a promising copper intercept and a diamond drilling programme, but no defensible resource. Investors and a JV partner want numbers they can trust — and the current answer lives in a spreadsheet nobody can reproduce.

THE PROBLEMA promising intercept,but no defensibleresource1Plato GIStarget2GeoChem ScientistQC assays3Data Hubgovern data4GeoMine ScientistestimateTHE OUTCOMEA reproducible maidenresourceDue-diligence-ready in weeks — every tonne traceable, not a black box
The problem, carried across Plato GIS → GeoChem Scientist → Data Hub → GeoMine Scientist, to a reproducible maiden resource.

How it flows

  1. 1
    Plato GIStarget

    Screen the lease with satellite and historical imagery, terrain, and change detection to prioritise where the next holes go.

  2. 2
    GeoChem ScientistQC assays

    Run QA/QC coverage over the assays — reference materials, blanks, duplicates, and checks — so bad lab data never reaches the model.

  3. 3
    Data Hubgovern data

    Hold collars, surveys, logged intervals, and assays as one governed, auditable source instead of a re-keyed export.

  4. 4
    GeoMine Scientistestimate

    Desurvey, model contacts implicitly, krige a block model, simulate realizations, classify, and report a resource statement on the certified compute foundation.

The outcome

A reproducible maiden resource

A maiden resource that is due-diligence-ready in weeks, not months — every tonne traceable back to the drillhole, the parameter, and the kernel that produced it. When the JV partner's reviewer asks how a number was reached, the answer is a reproducible artifact, not a spreadsheet nobody can rerun.

02

Gold · resource to mine plan

Turn the resource into a pit that makes money

The problem. The resource model exists, but there is no mineable, economic plan — and the board needs an NPV case before it commits capital. The slope angles the last consultant used can't be traced to any ground data.

THE PROBLEMA resource model, but noeconomic pit plan1GeoMine Scientistclassify2Open Pit Planningoptimize3GeoTech Scientistslope designTHE OUTCOMEAn optimized, mineablepit planAn NPV case where the economics behind every pit shell are traceable
The problem, carried across GeoMine Scientist → Open Pit Planning → GeoTech Scientist, to an optimized, mineable pit plan.

How it flows

  1. 1
    GeoMine Scientistclassify

    Start from a classified block model — grade, tonnage, and category per block, with the evidence behind each figure attached.

  2. 2
    Open Pit Planningoptimize

    Apply planning parameters, value each block economically, optimize the ultimate pit, design phases, and sequence the schedule.

  3. 3
    GeoTech Scientistslope design

    Back every slope angle with rock-mass domains and structural data, so the pit walls in the plan are defensible, not assumed.

The outcome

An optimized, mineable pit plan

An optimized, practical pit plan with an NPV case the board can interrogate — because the economics behind the pit shell are traceable to declared inputs, and every slope angle is backed by ground data rather than a number someone typed once.

03

Operations · ground & water

Keep the pit dry and the walls standing

The problem. A stage-three cutback is hitting groundwater. Benches are turning to mud, the pit-slope engineer is worried about wall stability, and the mining schedule is starting to slip.

THE PROBLEMA cutback hitting water,with slopes at risk1Mine Dewateringforecast inflow2Mine Dewateringdewater3GeoTech ScientiststabilizeTHE OUTCOMEA dry pit and stablewallsWater controlled ahead of the dig, not measured after it floods
The problem, carried across Mine Dewatering → Mine Dewatering → GeoTech Scientist, to a dry pit and stable walls.

How it flows

  1. 1
    Mine Dewatering Scientistforecast inflow

    Build the hydrogeological picture and forecast inflow and drawdown by mine stage, ahead of each cutback.

  2. 2
    Mine Dewatering Scientistdewater

    Design the pumping and dewatering wells to draw the water table down before the dig reaches it.

  3. 3
    GeoTech Scientiststabilize

    Model slope depressurization and track wall stability against the geotechnical hazard register on the same map as the pit.

The outcome

A dry pit and stable walls

Water is controlled ahead of the dig instead of measured after it floods the bench — the cutback stays dry, the walls stay stable, and the schedule is protected. Dewatering and geotechnics work the same drillholes and monitoring records, so the water table and the wall are one problem, not two.

04

Production · grade control & reconciliation

Make the mill match the model

The problem. Mill feed grade keeps under-calling the resource model, month after month. Metallurgical accounting and the resource team are arguing about where the metal is going, and nobody can settle it with evidence.

THE PROBLEMThe mill keepsunder-calling the model1Grade Controlsample & model2Grade Controldig & dispatch3Grade Controlreconcile4GeoMine Scientistrevisit modelTHE OUTCOMEA closed reconciliationloopEvery tonne accounted for, model to mill — the gap explained, not argued
The problem, carried across Grade Control → Grade Control → Grade Control → GeoMine Scientist, to a closed reconciliation loop.

How it flows

  1. 1
    Grade Controlsample & model

    Take QA'd grade-control samples and build a local ore-control model of what is actually in the ground.

  2. 2
    Grade Controldig & dispatch

    Frame dig-lines and ore/waste boundaries, dispatch material to destinations, and keep an honest stockpile ledger of where it went.

  3. 3
    Grade Controlreconcile

    Run mine-to-mill reconciliation with F1/F2 factors to compare resource model, grade control, and mill feed.

  4. 4
    GeoMine Scientistrevisit model

    Feed the reconciled variance back into the resource model to test whether the estimate — or the mining — needs to change.

The outcome

A closed reconciliation loop

The reconciliation loop closes: every tonne is accounted for from resource model through grade control to mill feed, and the discrepancy is explained with evidence rather than argued about in a meeting. When the numbers move, everyone can see which step moved them.

05

Closure & assurance · tailings

Prove the tailings dam is safe — and keep proving it

The problem. A tailings storage facility is under heightened regulatory scrutiny. The Engineer of Record needs current evidence of stability, and the dam-safety record is scattered across instruments, surveys, and out-of-date binders.

THE PROBLEMA TSF under scrutiny,with scattered safetyevidence1TailingsScientistsurveil2TailingsScientistassess3GeoTech ScientistfoundationTHE OUTCOMEAn auditable, compliantTSFDam safety as a live, evidenced record — not a binder out of date the day it prints
The problem, carried across Tailings Scientist → Tailings Scientist → GeoTech Scientist, to an auditable, compliant tsf.

How it flows

  1. 1
    Tailings Scientistsurveil

    Bring piezometers, survey monuments, and deposition records onto one governed facility register with live surveillance.

  2. 2
    Tailings Scientistassess

    Track factor-of-safety, pond water balance, and risk against dam-safety governance as a living record.

  3. 3
    GeoTech Scientistfoundation

    Tie the dam back to the ground it stands on — the foundation investigation and rock-mass data behind the structure.

The outcome

An auditable, compliant TSF

Dam safety becomes a live, evidenced record aligned to governance — not a binder that is out of date the day it is printed. When a regulator or the Engineer of Record asks for the current state, the surveillance, stability, and foundation evidence are one auditable dataset.

Request demo

Bring your own problem

Tell us the decision your team is stuck on — a maiden resource, a pit optimization, a dewatering plan, a reconciliation gap, or a tailings review — and we'll walk it end to end on a deposit your team already knows.