A real problem
Each scenario starts from a problem a technical team actually has to solve — not a feature to show off.
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.
Each scenario starts from a problem a technical team actually has to solve — not a feature to show off.
Follow the problem from module to module, each one consuming the artifact the last one produced.
It ends in a result a reviewer, a board, or a regulator can trust — with the value stated plainly.
Copper porphyry · exploration to resource
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.
Screen the lease with satellite and historical imagery, terrain, and change detection to prioritise where the next holes go.
Run QA/QC coverage over the assays — reference materials, blanks, duplicates, and checks — so bad lab data never reaches the model.
Hold collars, surveys, logged intervals, and assays as one governed, auditable source instead of a re-keyed export.
Desurvey, model contacts implicitly, krige a block model, simulate realizations, classify, and report a resource statement on the certified compute foundation.
The outcome
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.
Gold · resource to mine plan
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.
Start from a classified block model — grade, tonnage, and category per block, with the evidence behind each figure attached.
Apply planning parameters, value each block economically, optimize the ultimate pit, design phases, and sequence the schedule.
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, 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.
Operations · ground & water
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.
Build the hydrogeological picture and forecast inflow and drawdown by mine stage, ahead of each cutback.
Design the pumping and dewatering wells to draw the water table down before the dig reaches it.
Model slope depressurization and track wall stability against the geotechnical hazard register on the same map as the pit.
The outcome
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.
Production · grade control & reconciliation
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.
Take QA'd grade-control samples and build a local ore-control model of what is actually in the ground.
Frame dig-lines and ore/waste boundaries, dispatch material to destinations, and keep an honest stockpile ledger of where it went.
Run mine-to-mill reconciliation with F1/F2 factors to compare resource model, grade control, and mill feed.
Feed the reconciled variance back into the resource model to test whether the estimate — or the mining — needs to change.
The outcome
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.
Closure & assurance · tailings
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.
Bring piezometers, survey monuments, and deposition records onto one governed facility register with live surveillance.
Track factor-of-safety, pond water balance, and risk against dam-safety governance as a living record.
Tie the dam back to the ground it stands on — the foundation investigation and rock-mass data behind the structure.
The outcome
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
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.