Mission
To optimize mining industry processes through our single-step technology, enhancing decision-making in the face of risks and uncertainties that directly impact operational success.
Built through research. Advanced through mathematics. Reimagined with AI.
MiningMath is a Brazilian technology company whose product has evolved since 2013 through multidisciplinary engineering, proprietary mathematical optimization and continuous engagement with mine-planning research worldwide. Its technology is built from a broad field of knowledge, not from a single study.
One technical journey, from the first idea to MiningMath AI.
These milestones trace concrete changes in what MiningMath could model, optimize, automate or help users compare, from early Operations Research work to integrated scheduling, geometry, destinations, scenario analysis and AI-assisted workflows.
MiningMath begins in Brazil
Alexandre Marinho starts activities focused on Operations Research and technology for mining, establishing the company's original consulting and R&D direction.
A dedicated software initiative takes shape
The SimSched software initiative develops as a distinct MiningMath effort, informed by stochastic mine-planning research and a multidisciplinary engineering perspective.
Free pit optimization broadens access
MiningMath releases a free pit-optimization tool, giving users a practical way to test simpler optimization concepts before the commercial product matured.
First robust commercial release
MiningMath launches its first Beta version of SimSched Direct Block Scheduler (DBS) software, moving the technology from R&D into regular professional use.
Direct Block Scheduling gains wider technical visibility
MiningMath releases version 1.0 as the first DBS on the market, already accounting for scheduling and destination optimization simultaneously.
More constraints added to the Single-Step optimization
MiningMath introduces its first set of geometric, average (blending) and sum constraints, expanding the ways users can model their projects.
Decision trees consolidate the single-step workflow
The technology consolidates in the market around diverse optimized scenarios and decision trees, helping teams compare value, risk and planning alternatives.
SimSched becomes MiningMath
The software adopts the MiningMath name, aligning the product identity with a broader vision of integrated mathematical optimization for mine planning.
The v2 generation improves usability and scenario setup
Versions 2.0 and 2.1 introduced a new viewer and important improvements in geometries and scenario configuration.
The planning model becomes more flexible and detailed
Versions 2.2 and 2.3 added stronger average and sum controls, mining length by period, rotated model support and more flexible calculator expressions.
Destinations, economics and geometry become more flexible
Version 2.4 expands the planning model with destination grouping, Economic Values by period, Mining Length by period, and support for rotated block models.
Version 3 adds guided validation and scenario tools
The v3 generation introduces a scenario Queue, Labs, Predefined Destinations, the Data Validation wizard, and a direct Run Super Best Case action.
Integration of short- and long-term planning
MiningMath strengthens its strategic workflow with clearer integration of short- and long-term scheduling, with the use of timeframes.
Scenario analysis becomes a broader decision workflow
The documented workflows expanded, helping users compare complete alternatives instead of relying on isolated optimization runs.
Steps toward MiningMath AI
Run Batch automates the creation of structured scenario variations, while combined charts support comparison as results become available. This evolution also advances the MiningMath AI direction, connecting mathematical optimization, scenario automation, comparative analysis and AI-assisted interaction.
Mission and vision
These statements express the purpose MiningMath pursues and the direction it seeks to build.
Vision
To be among the leading integrated solutions for optimizing processes in the mining industry, with recognition for our compatibility with other technologies, practicality, effectiveness, reliability and continuous evolution.
Values made visible in everyday behavior.
Each value describes both the behavior MiningMath encourages and the behavior it does not encourage.
Courage to undertake
MiningMath encourages proactivity, responsible decision-making, and the constant pursuit of innovation.
MiningMath does not encourage passivity, fear of making mistakes, and resistance to step out of the comfort zone.
Flexibility and trust
MiningMath encourages adaptability to change, open communication, and delegating with confidence.
MiningMath does not encourage rigidity in the face of change, distrust, and disruptions to collaboration.
Acting with integrity and excellence
MiningMath encourages transparency, commitment to quality, and honesty in correcting mistakes.
MiningMath does not encourage unethical practices, carelessness with deadlines, and neglect of quality.
Diversity and empathy
MiningMath encourages respect for differences, active listening, and fostering inclusion.
MiningMath does not encourage discrimination, lack of empathy, and rejection of diverse perspectives.