MiningMath
A Unified Approach to Maximizing Mine Project NPV

MiningMath is redefining strategic mine planning through technical innovation. For decades, open-pit mining operations have relied on segmented workflows. Conventional software forced engineers through a sequential process that risked compromising project value.

MiningMath’s single-step optimization engine disrupts this paradigm, replacing fragmented procedures with a unified, data-driven system that delivers globally optimized solutions. This transformative approach is now being embraced by leading copper producers across Latin America, among other major international mining companies.

“MiningMath delivers global solutions that maximize value and respect constraints, all optimized simultaneously within a unified mathematical model,” says Alexandre Marinho, co-founder.

Overcoming Legacy Planning

At the core of MiningMath’s industry disruption is integrating geometrical constraints required for pit design and production scheduling into a unified optimization run. Unlike traditional methodologies that lock in suboptimal decisions early, such as block destinations, nested pits, and pushbacks, MiningMath’s algorithm optimizes mine envelopes, destinations, block sequences, and Net Present Value (NPV); all simultaneously. This approach provides users with a global view of trade-offs, enabling more creative mining sequences that yield schedules maximizing NPV by up to 68 percent compared to traditional planning methods, according to users’ feedback. Instead of a single final solution, MiningMath can produce hundreds of distinctive mine plan alternatives.

Operations such as Sierra Gorda in Chile are already translating MiningMath’s theoretical outputs into operational plans, demonstrating feasibility and tangible real-world impact. Efficiency is another hallmark.

For multi-pit and multi-stream operations, such as PGM deposits with intricate scheduling requirements, this unified framework enables comprehensive, one-pass optimization across every project dimension. The result is measurable improvement in project economics and greater confidence in decision-making.

The company’s pace of innovation continues to accelerate. Its latest major release, version 3.0, introduced a Scenario Queue for automated, sequential scenario runs and a Python Labs environment that empowers advanced scripting and data science workflows. A new Data Validation Wizard ensures input accuracy and a smooth user experience. At the same time, enhanced control features allow teams to designate specific ore destinations, customize blending strategies, and conduct automated “best case” analyses with minimal technical overhead.

The upcoming version 3.1 promises the migration to the NASA standard HDF5 data format. This will lay the groundwork for MiningMath AI, a machine intelligence assistant designed to identify opportunities and help configure, run and analyze hundreds of scenarios semi-autonomously.

Customer Loyalty and Consultative Leadership

Beyond technology, MiningMath has earned loyalty through its rich and free knowledge base, forum, and an AI chatbot assistant named “Mima” for round-the-clock help. This assures users that they will be supported in getting the most value from the software whenever they need it.

MiningMath’s leadership style is best described as customer-centric and consultative. The company actively builds partnerships with mining majors, planning consultants, and tech providers to deploy features piloted in real-world conditions. Codelco and Antofagasta Minerals are but two of the Latin American copper heavyweights validating MiningMath’s models in ultra-complex projects. By offering academic licenses and supporting mine planning coursework, MiningMath nurtures the next generation of users and stays at the cutting edge of optimization science through research collaborations and case study publication.

Commercially, MiningMath is prioritizing sectors combining scale and technical complexity— starting with Latin America’s copper sector, and expanding to gold, silver, iron ore, and aggregates worldwide. The company’s proof-of-concept trial structure allows mines in new regions to compare their best plans against MiningMath-generated alternatives, often converting skeptics into advocates.

More than software, MiningMath is a platform for actionable, strategic mining decisions. Through continuous evolution, seamless integration, and authentic partnerships with clients and academia, it is helping mine planners worldwide unlock project value, manage uncertainty, and embed optimization in operational reality.