Artificial intelligence and machine learning for Mining
High scalability for training custom models.
For miners. By miners.
Our services
GAIA 360° | custom models
GAIA modules | pre-trained models
Development of customized AI and ML models tailored to challenges with intrinsic specificities unique to each operation.
Deployment of pre-trained models for frequent operational challenges.
Vibrations
Fragmentation
Slopes
Blending
AI and ML curation
Implementation of artificial intelligence and machine learning through GAIA 360°, across processes in the value chain.
Who believes in Beyond Mining
"The greatest challenge was to transform something so complex into a simple solution - and Beyond Mining understood this from the beginning."
"The AI-developed model can predict the process instantly and allows us to plan projects better without needing to wait for the chemical lab results."
"The blasting design is an extremely critical item within mining. The project executed with Beyond Mining has yielded very significant results to further improve safety in the mine environment, especially in handling explosives."
"GAIA demonstrated statistical reliability and brings as its main differential the dynamism and simplicity of its application."
Accomplished results
Block model
15% reduction in dilution through improved classification of contacts in the block model
Energy consumption
5% reduction in energy consumption in comminution circuits (crushing + grinding)
Vibrations and noise
100% reduction in excess vibrations in rock blasting and noise from operations
Stability of bench slopes
84% accuracy in assessing the stability of bench slopes
Geomechanical classification
96% accuracy in geomechanical classification with data collected in the field
Average load of wagons
3% increase in average wagon load through blending optimization
Statiscal dispersion
5% reduction in statistical dispersion of ore quality parameters
Moisture and TML
97% accuracy in moisture prediction and TML control
Metallurgical performance
98% accuracy in predicting the metallurgical performance of iron ore
Process plant
82% accuracy in predicting the performance of concentration plants
Ball mills
100h/year reduction in operational shutdowns of ball mills
Flotation
3% increase of metallurgical recovery in froth flotation
The Beyond Mining methodology
The Beyond Mining methodology was developed by specialists—after all, expertise in mining truly makes a difference.
Bianca Nakandakari
Gustavo Vieira
Cristiano Oliveira
Luciano Dolenc
Sandro Guerra
Paulo Lopes
FAQ
How can I contact support?
Please reach out to us at suporte@beyondmining.tech.
What will be done with my data? And who can access it?
The information you enter and any related scenarios are stored exclusively in the database linked only to your user account. In other words, neither we nor anyone else can access them—only you can.
What is the difference between GAIA and tools like ChatGPT, Midjourney, and Gemini?
Tools like ChatGPT, Gemini, and Midjourney, which are very popular today, are generative AIs. This means they produce probable—but not unique—responses based on their training data and the user’s input (prompt). The same prompt can generate different responses each time it’s used. In contrast, GAIA is built with algorithms that model processes, identify patterns, and predict outcomes objectively within a margin of error. It employs an engineering-focused, finite-scope approach, meaning the same input parameters will always produce the same result.
What is the Beyond Mining Curation?
The Beyond Mining curation encompasses the selection, organization, validation, and maintenance of information, data, and resources essential to the project. Additionally, it includes the training and deployment of models and solutions. This process involves identifying reliable information sources, gathering data, establishing standards and architectures, implementing best practices, and sourcing other materials and resources vital for development.