black blue and yellow textile

vibrations

fragmentation

slopes

blending

No operational stops

No fines

No explosive waste

No excessive vibrations

No complaints

Reducing excess vibrations to optimize the blasting design.

Vibrations

100% reduction of the excessive vibrations

Interactive and dynamic map

Fragmentation

No boulders

No broken buckets


No tear in the conveyor belt

Improving fragmentation downstream operation.

5% reduction of energy consumption

100% reduction of boulders

Consistency in feed particle size distribution

No bench ruptures

No obstructed access

No accidents

Minimizing risks assessing stability.

Slopes

95% prediction accuracy

Blending

No dispersions in the process

No uncontrolled variability

Blending optimization reducing variability.

A steady and consistent process

Adherence to quality goals

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.