How much value is your current mine plan leaving behind?

MiningMath explores hundreds of distinct scenarios to reveal integrated strategies and value opportunities you cannot assess otherwise.

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The MiningMath difference

Keep the whole project in play until value and robustness agree.

MiningMath solves the project as one interconnected mathematical system instead of inheriting a chain of locked answers. This retained decision freedom makes a broader search possible and lets teams compare value, operational constraints and risk exposure before committing to detailed design.

One integrated search

Bring the full project into one global optimization.

Geology & resources

GradesDensitiesMaterial typesResource classesConditional simulationsRecoveriesMining regions

Economics & markets

Market uncertaintiesMetal pricesMining costsEconomic changes over timeProcessing costsRoyaltiesDiscount rate

Environment, land & permitting

CarbonWaterEnergyProtected areasSetback distancesConcessionsSocial constraintsDeforestation limits

Geotechnics & geometry

Slope anglesMining widthSinking rateMining lengthBottom widthMining frontsForce MiningIn-pit crusher

Spatial strategy, horizons & risk

Short- to long-term horizonsMulti-mineScenario rangesStochastic modelsDecision treesRisk criteria

Processing & metallurgy

Processing streamsBlending limitsPlant contaminantsComminution energyProcessing hoursMetallurgical recoveryOre hardness

Production, routing & equipment

Material flowRamp-upPre-strippingFleet hoursStockpilesTotal movementMultiple destinations

Single StepMining OptimizationMiningMathAlgorithm

Optimized schedules, destinations, and stockpiles with operational mining shapes.

Risk analysis Trade-offs Sensitivity Bottlenecks Robustness

Decision landscape

Test hypotheses and keep potential strategies open for comparison.

Compare NPV against01 / 05

Lower is better

Years until cumulative project cash flow turns positive.

All scenariosShortlist for review

Executive shortlist3 strategies

NPV (US$M)

Time to cash (years)

Indicators can be created by the user based on the data available in the block model.

Product experience

A guided workflow from an uncertain scenario to a robust decision.

Decision makers and engineers select one of the strongest solutions generated so far and define the next hypothesis. Automation accelerates creation, comparison and analysis.

01 · INTEGRATED PROJECT SETUP

Model the whole
project and keep
decisions open.

Import and validate project data and the main required parameters. Organize ranges and uncertainties for later optimization cycles. Represent each controlled variable in imported or calculated fields. Wizards guide formatting, checks and setup while reducing errors. Inputs stay open for later changes.

02 · RUN THE BASE CASE SCENARIO

Benchmarking &
Base Case
definition.

Run Direct Block Scheduling to generate optimized nested pits. Use them to benchmark against the traditional Best Case or guide standard pushback design in other software. When setting up and running the Base Case, keep relevant constraints as flexible as the project allows.

03 · OPTIMIZATIONS & RISK ANALYSIS

Find better
solutions in the
expanded space.

Each batch varies one chosen parameter across multiple optimized scenarios. Teams compare value, risk, operational trade-offs and the effects of each change, choose a better result as the new reference and define the next goal. The chosen scenario then advances to external mine design.

04 · EXTERNAL MINE DESIGN

Use the chosen
scenario to guide
mine design.

Use the optimized solution as a reference in external mine design software. Create broad pushback guidance or preserve more detail to follow the optimized plans more closely, depending on the level of detail required by the study.

05 · FURTHER OPTIMIZATIONS SOON

Optimize with
mine design
constraints.

Designed surfaces return to MiningMath as hard constraints. They include ramps, access routes and the required mine geometry. New optimizations search for value within tighter physical limits. Some assumptions may need review, or teams may restart the cycle under the new conditions.

MiningMath data import, validation, 3D viewer, and calculator screens around a block model

MiningMath Single Step Workflow

Each cycle runs new optimizations while decisions remain open and risk is assessed throughout.

Integrated project setup
Prepares data and variables while keeping decisions open.
Run the Base Case scenario
Benchmarks nested pits and establishes the study reference.
Optimizations & risk analysis for better solutions

Recommended for continuous improvement.

DEFINE GOALChoose what to improve

RUN BATCHOptimize alternatives

CHOOSE RESULTMake it the new reference

NEXT HYPOTHESIS
External mine design
Uses the chosen scenario for external mine design.
Further optimizationsSOON
Uses designed surfaces as hard constraints in optimization.

Traditional Stepwise Workflow

Each stage inherits fixed decisions and narrows what remains possible.

Fixed assumptions
Locked early; later evidence cannot reopen them.
Fixed cutoffs & destinations
Set before trade-offs are fully visible.
Fixed nested pits
Nested pits narrow the options before scheduling.
Fixed pushback design
Geometries are fixed before mine schedules are optimized.
Schedule optimization
Optimizes mine schedules within predefined aggregations.
Stockpiling strategy
Adds stockpiles to resolve schedule shortfalls.
Late-stage risk analysis
Assesses risks after most strategic choices are fixed.

See a published case study comparing aspects of traditional Stepwise and Single Step methods

Practice

Practitioner perspectives. Real project experience.

Luis Martinez TipeProject Director and Business Development at MCEISA

“The challenges of large-scale mining are increasingly complex. Therefore complex but practical solutions are needed. Sharing knowledge and applying science and technology with the CODELCO team to solve the challenges of large-scale copper mining. It is a pleasure to be able to collaborate with the IMSS team consultants, and with the support of MiningMath software.”

Alexey TsoyBusiness Manager, MSc in Mining Engineering and International EconomicsMiningMath projects in the DR Congo, Zambia, Russia and Niger

“MiningMath scheduling solution helps to solve schedule optimization problems in multicommodity, multipit and other complex environments. In most complex cases it lets us show a 50% increase in estimated NPV!”

Fabian Lemus ParraPrincipal Leader of Asset Performance at AngloAmerican T&S

“I have used MiningMath to carry out a long-term plan focused on the first three years, but integrating this with the whole long-term plan. For this slot of time, MiningMath was run using quarters instead of years. Results were good and we improved the economics importantly.”

Matthew RandallDirector at Axe Valley Mining Consultants

“MiningMath allows the user to generate an optimal pit limit and schedule in a single pass. This overcomes the limitations of other pit optimisation methods and has the potential to significantly improve project value, particularly if there are complex constraint variables that can vary with time. MiningMath can deliver new insights that are not possible with conventional optimisation techniques.”

Karol BartschPrincipal Mining Consultant at MiningPlus AustraliaMiningMath projects at CSA Global and Arctic Platinum Oy

“I started trialing MiningMath software in late 2015 and later used it to optimize a mining schedule at a substantial PGM deposit with 12 pits and three different processing streams. The software has come a long way since then. It is a powerful contender to any pit optimiser with the direct block scheduling ability available today. The development team listens to users and has implemented many suggestions from the users' community. It's great to see such dedication from the development team to improve their software. It's a testament to their commitment to providing a top-notch product that meets the needs of their users. I'm confident that MiningMath will continue to be a valuable tool for mining professionals, thanks to the hard work and innovation of the developers. Keep up the excellent work!”

Mauricio BrücherCo-founder and Managing Partner at InnovaMine

“The optimization is always associated with a particular mine plan, which allows the review, in a single step, of both the final pit limits and the economic flows and materials. This enables the rapid assessment of the project sensitivities when changing conditions. At InnovaMine, we have used MiningMath in different real projects, and have obtained good results in mining sequences and project cash flows (...) the tool has allowed us to improve the operational phase design stage to make more accurate decisions and achieve geometries that meet operational requirements.”

Enrique RubioOwner and Executive Director at RedCo Mining Consultants

“Excellent tool! It is all about getting the right sequence, just playing with cut off does not work! Still lots of big players keep running 1000s plans varying cut off with a fixed sequence, it is wrong! Of course those 1000s [are] far from being operationally correct, reliability and compliance expectation=0. MiningMath has proven to have the right strategic tool, with some robust operational insight that provides an excellent guideline for mine plans!”

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Software editions

Compare MiningMath editions.

Review a broader external comparison of mine-planning software, including MiningMath.

MININGMATH FREE

Direct Block Scheduling.

Optimize the mining schedule and block destinations simultaneously with MiningMath FREE.

✓Direct Block SchedulingWith simultaneous destination optimization
—Single Step PushbacksNew pushbacks in each optimization
—All constraints availableOperational and geometric constraints
—Run Batch and DashboardAutomation & scenario comparison
—AI assistant with prompt actionsSupported actions through prompts
SupportChatbot & Knowledge Base

Download MiningMath FREE

MININGMATH FULL

Full algorithm with all constraints.

Set up each scenario, run in a queue and make basic comparisons in the SAAS subscription.

✓Direct Block SchedulingWith simultaneous destination optimization
✓Single Step PushbacksNew pushbacks in each optimization
✓All constraints availableOperational and geometric constraints
—Run Batch and DashboardAutomation & scenario comparison
—AI assistant with prompt actionsSupported actions through prompts
SupportFREE + personalized email support

MiningMath AI

Expand the decision landscape.

Run scenario campaigns and make advanced comparisons with a PERPETUAL license.

✓Direct Block SchedulingWith simultaneous destination optimization
✓Single Step PushbacksNew pushbacks in each optimization
✓All constraints availableOperational and geometric constraints
✓Run Batch and DashboardAutomation & scenario comparison
✓AI assistant with prompt actionsSupported actions through prompts
SupportFULL + chat and video calls

Additional tailored services are available for specific project needs. Request expert assistance

Before adoption

Questions worth asking.

Do we have to replace our current workflow?

No. MiningMath can benchmark or complement selected steps before it replaces anything. Start with one decision, compare it with the current Base Case, and expand only where the evidence justifies it. Existing tools can remain in downstream design, reporting and governance.

Are the outputs practical enough for engineering?

MiningMath produces optimized schedules, destinations, strategic stockpiling decisions and geometry-aware strategic mining shapes, not final ramp or access designs. Detailed design remains an engineering task.

Will more scenarios make the decision harder?

No. Run Batch lets teams compare scenarios in combined charts, making trade-offs easier to review side by side. Instead of checking schedules one by one, teams can focus on the candidates that deliver the strongest results.

What does “AI” mean in MiningMath AI?

MiningMath AI combines proprietary global optimization, model-based search, scenario automation, comparative analysis, and natural-language interaction. Mixed-integer models and Branch & Cut procedures search complex mine-planning spaces while keeping the project’s main decisions connected. The result is an integrated decision environment, not simply an optimizer or chatbot.

Can we prove value before a larger commitment?

Yes. A scoped proof of concept can use your own data to validate the workflow, compare targeted scenarios and deliver a decision-ready report. It gives technical and business evidence to support the next step with MiningMath.

What if our team lacks time, experience or a ready Base Case?

Start with the decision, not a full rollout. Training, implementation support and project-scoped server processing can fill capability or capacity gaps. When data readiness is the blocker, the first scope can focus on validation and Base Case construction before starting a broader scenario campaign.

Custom services

Build the expert support your company needs.

Combine specialized services to validate MiningMath with your own data, build team autonomy, implement the workflow and expand processing capacity.

Proof of Concept
Validate with your own data.

Run scenario campaigns
from your Base Case to assess
value, geometric sensitivities
and operational trade-offs
in a decision-ready report.
Add to my request
Training
Learn concepts & practice.

Build team autonomy
using your own data,
customized exercises and
direct guidance tailored
to your project context.
Add to my request
Implementation
Implement in your company.

Integrate MiningMath into
your planning process, align
roles and review standards,
and deliver the first studies
with expert guidance.
Add to my request
Server Campaigns
Run scenarios in parallel.

Use more powerful servers
to shorten processing time,
run more scenarios,
compare more alternatives
and reach decisions sooner.
Add to my request

How much value is your current mine plan leaving behind?

Keep the whole project in play until value and robustness agree.

Bring the full project into one global optimization.

Test hypotheses and keep potential strategies open for comparison.

A guided workflow from an uncertain scenario to a robust decision.