Pioneers in highly scalable customized model training

Our services

GAIA 360°

GAIA Elements

Our customized model training service is designed to meet your unique goals. Whether handled by our experts or managed in-house, the training adapts.

Deployment of pre-trained models for frequent operational challenges.

• Vibrations

• Fragmentation

• Slopes

• Blending

GAIA Vanguard

Empowers your business to unlock the true potential of your data and seamlessly integrate AI across your mining operations. Leveraging our expertise, we work closely with you to identify opportunities, refine your data strategies, and ensure that AI implementations are impactful and effective. GAIA Vanguard's approach guides you toward smarter, data-driven decision-making and sustainable value throughout your entire 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.