Find out who we are
"KnowRISK: Artificial Intelligence specialized in Mining, based on the latest technical-scientific evidence and standards."
"Our artificial intelligence is trained based on insights extracted from more than 30,000 scientific articles indexed in the main global market journals, following rigorous methodological and scientific validation criteria"
"Integration of data and AI to increase operational efficiency, mitigate risks, and promote safety in modern mining."
Transforming geotechnical data into predictive intelligence for risk management and protection of human life.
Focus on operational and strategic precision
From analysis to action
From analysis to action in mining: AI that transforms operational data into strategic decisions
Precision and agility in decision making
Precision and agility in the mine: AI to optimize decisions at all operational levels
Analysis with speed - effectiveness
Speed and effectiveness: AI that supports real-time decisions for critical operations
Data that reduces costs
Timely and precise decisions: AI that converts data into cost reduction in mining operations
Artificial intelligence powered by global science, transforming data into immediate answers and decisions that drive safety, performance and sustainability in mining.
Focus on technology and transformation
From data collection to optimized decision-making: the digital transformation of mining with artificial intelligence
Adaptive data analysis
Use of intelligent data in mining to restructure operational metrics and implement dynamic KPIs based on the systemic evolution of processes
AI in pursuit of results
Application of AI to support decisions at all levels of operation: from strategic planning to field execution
Data intelligence and customization
Development of databases with personalized intelligence, aligned with the specific needs of each mining company
Automation and evolution
Intelligent cost reduction through AI algorithms applied to the variability and complexity of mining operations
A continuous cycle of technological innovation that transforms mining through digitalization, automation, and artificial intelligence
We employ technologies that transform data into intelligence
Machine Learning
Uses structured data for classification and prediction
Deep Learning
Processes complex data such as images and videos
Generative AI
Creates synthetic data from learned patterns
Language Models
Process and generate text based on large datasets
Technical decision with operational sensitivity: data transformed into more precise and efficient mining
Our AI interacts in a personalized and contextual way with operators, engineers and managers — communicating with each professional according to their profile and operational needs
Enhanced Communication and Interaction
All communication can be conducted through WhatsApp, email, or any other necessary channel
Integration among everyone (engineers, machine operators, geologists, c-level, etc.), in a SIMPLE and PRACTICAL way - fully automated with human-like dialogues and customized for each person
Natural Language Processing - NLP
KnowRisk has created one of the most advanced OCRs in the market, capable of reading any handwriting with high precision
Repeating the success achieved in healthcare, the use of OCR in mining allows accelerating digital transformation, converting physical records into usable data with a simple smartphone capture
KnowRisk uses science to create neural networks that think like people — simple, efficient and human
The result? More efficiency, quick decisions that generate value for the entire mining chain
Here, guesswork has no place. We make decisions with science — because assumptions are for amateurs, results are for leaders
At KnowRisk, every data point has purpose and every decision has foundation — because innovating responsibly is what separates common solutions from real revolutions
Main AI Functionalities
Administrative Automation
Management of financial spreadsheets and hospital inventory control.
Clinical Data Management
Navigation system for primary care and patient data management.
Operational Support
Demand forecasting and interactive dashboards for monitoring mining KPIs.
Automated Administrative Operations
Intelligent systems that optimize important hospital processes:
Spreadsheet Automation
Automatic calculations for cost control and inventory
Price Research
Automated search for prices of supplies and medications
Report Generation
Automatic creation of financial and operational reports
Intelligent support for day-to-day operational processes, focused on efficiency and decision-making.
Report Summaries
Facilitation of quick analysis by all people, through automated summaries, report summarization and indexing
Machine Learning Prediction
Identification of mining patterns and generation of predictive questions from technicians, maintenance, etc.
Meeting Summarization
Automatic creation of clinical meeting summaries and action plans.
Evolution to Specialized LLM for Mining

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Complex Data Processing
Integration of structured and unstructured data.
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Advanced Interactivity
Responses to natural language queries.
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Multimodal Automation
Creation of reports and predictive analyses.
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Advanced Analytics
Predictive modeling and monitoring of critical indicators in mining operations.
Transform Learning into Knowledge for Everyone
Therefore, we will integrate an LMS (Learning Management System) into AI
Learning management system built on any LMS, with AI bot integration for advanced interaction.
Constant data feeding using Web Crawling and Web Scraping, allowing intelligence growth and adaptation to user needs.
Building SLM based on mining
Supported by cutting-edge data science and artificial intelligence, it supports strategic decisions in mining with precision and reliability.
LMS Applications in Mining
24/7
Continuous Training
Uninterrupted access to adaptive courses for Mining professionals.
100+
Simulated Scenarios
Interactive simulations based on real cases generated by AI.
360°
Comprehensive Learning
Complete coverage of hospital practices and use of AI tools.
Integration of all daily operations in WhatsApp
Simplifying processes through a single communication platform.

Communication
Message exchange between teams
Building ideas
Extracting knowledge from daily conversations
Technical support
Immediate bot assistance for technical questions
Operations
Process management
Problem assessment
Analysis of problems through images
WhatsApp, when used as a central hub, allows for the integration of various levels of mining operations, from basic communication between field teams and control centers to managing complex processes, such as dam monitoring and logistics coordination, all on a platform already familiar to operators and technicians.
Research base in indexed journals with more than 30 thousand qualified papers
A digital repository of excellence, with selected scientific publications to meet the technical and strategic demands of the mining sector
All correlation, research, intelligence based on research published in relevant journals
Main Indexing Databases in Mining
Elsevier publishes relevant journals in mining, such as the International Journal of Rock Mechanics and Mining Sciences, focused on rock mechanics; Minerals Engineering, dedicated to mineral processing; and the International Journal of Mineral Processing, with emphasis on mineral separations. They are technical and scientific sources for researchers and professionals in the sector.
Springer
Mining, Metallurgy & Exploration is the official journal of the Society for Mining, Metallurgy & Exploration (SME), published by Springer. It covers topics such as mining, mineral processing, metallurgy, and exploration geology, publishing scientific articles and reviews relevant to the technical-scientific community since 1984.
Resources Policy
The Resources Policy is an Elsevier journal focused on economic and political aspects of mining and mineral resource use. It publishes studies on markets, regulation, sustainability, and social impacts of mining activity. It is intended for academics, policy makers, and professionals in the field, being recognized for its international relevance and H-Index of 114.
International Journal of Rock Mechanics and Mining Sciences (IJRMMS)
An internationally renowned scientific journal, published by Elsevier, dedicated to the dissemination of research, field studies, and applications in rock mechanics and engineering, with a focus on mining projects and civil works in rock masses.
MDPI - Minerals
Minerals is an international, peer-reviewed, open access journal published monthly by MDPI. The journal covers a variety of topics related to natural mineral systems, mineral resources, mining, and mineral processing.
Taylor & Francis
The journal aims to disseminate original research, recent developments, field measurements, and case studies relevant to professionals and academics in the mineral sector. It is dedicated to all aspects of underground, open-pit, and offshore mining operations.
We are highly qualified and have extensive experience
Our scientists are educated at institutions:
We are masters, doctors, post-doctors, entrepreneurs, business owners and professors

Extremely experienced team, focused on delivery and return on investment in the short term

We never stop studying - we are involved with research at major institutions around the world
Founders
Fernando Arbache
Master's Degree
Data Scientist &AI Dev
MIT
Israel Guerra
Master's Degree
Computer Scientist
UFMG
Felipe (π) Martins
Master's Degree
Computer Scientist
UFMG
Guest Researcher
Ana Paula Arbache
Post-doctoral
ESG Data Scientist