Driving sustainable investment in African Mining

Thomas-Louis de Lophem

CEO and Co-Founder MinersAI

MinersAI is an early-stage Belgo-American startup with a mission to build the foundational data layer that the mining and mineral exploration industries need to deploy data science processes effectively.

In any AI-related project, 80% of the work involves handling data—finding, cleaning, and standardizing it. Mining is no exception: historical data arrives in diverse formats, requiring significant effort to make it compatible with data science applications. MinersAI accelerates these efforts substantially.

MinersAI’s platform offers access to a large  database of fully standardized geological data of any type, along with tools to host, share, standardize, and analyze critical data for exploration and mining companies or investors of any scale.

The company has two cofounders: Mason Dykstra, Ph.D., a former professor at the Colorado School of Mines with 25 years of experience as an Oil & Gas Geologist, and Thomas-Louis de Lophem, an experienced startup operator with 15 years of expertise in AI, data, machine learning, and remote sensing.

Thomas-Louis, based in Belgium, is a Mechanical Engineer and Quantum Physicist who also holds a professional certificate in AI from MIT.


2025 Agenda Sessions

The Role of Data Standardization in Attracting Investment

•    How are data and AI revolutionising the mining industry across the value chain? 
•    What is the potential return on investment from data-driven initiatives, from improved operational efficiency to predictive maintenance, expediating mineral discovery, and improving drilling confidence? 
•    What are the hurdles in implementing data standards in the mining industry? 

Monday 03 February 13:00 - 13:45 CTICC1

Tech & Innovation Hub

Add to calendar 02/03/2025 13:00 02/03/2025 13:45 The Role of Data Standardization in Attracting Investment •    How are data and AI revolutionising the mining industry across the value chain? 
•    What is the potential return on investment from data-driven initiatives, from improved operational efficiency to predictive maintenance, expediating mineral discovery, and improving drilling confidence? 
•    What are the hurdles in implementing data standards in the mining industry? 
CTICC1 Africa/Johannesburg