KIGAM Launches AX Strategy with AI Agents for Automated Mineral Exploration Decisions Reflecting Corporate Needs

Aiming to Improve High-Cost, High-Risk Exploration Structures
Intelligent Exploration and Resource Evaluation Driven by 'AIMEX'
"AI Provides Evidence, Not Conclusions"
Pursuing the Role of a 'Digital Newcomer' Supporting On-Site Decision-Making

As securing core mineral supply chains emerges as a key challenge for the sustainability of national high-tech industries, an intelligent transformation (AX) leveraging artificial intelligence (AI) is now being actively pursued in the field of mineral exploration and development. Efforts are underway to combine the digital assetization of exploration data with expert experience to increase exploration success rates and reduce development risks.

On January 29, the Korea Institute of Geoscience and Mineral Resources (KIGAM) invited 11 domestic mineral exploration and resource development companies to its headquarters in Daejeon for a planning meeting on an AI-based mineral exploration and development strategy research project. The meeting focused on discussing on-site technology needs and directions for collaboration. It also served as an opportunity to assess how effectively the AI exploration technology being planned by the institute could support real-world corporate decision-making.

AI Agents Deployed in Core Exploration and Evaluation Stages

The centerpiece of the strategy research project introduced at the event is the AI agent-based exploration and evaluation support system named 'AIMEX' (AI+Mining+EXploration). AIMEX aims to structure the skilled know-how and intuition of experts as digital assets, with the goal of providing focused support for repetitive and high-risk decision-making points throughout the exploration, evaluation, and development processes.

AIMEX consists of two core agents. The 'Mineral Exploration AI Agent' comprehensively analyzes geological, geochemical, and geophysical exploration data to identify promising structures and suggest optimal drilling locations, thereby reducing the costs of failed drilling attempts.

The 'Resource Evaluation AI Agent' is designed to systematize evaluation procedures based on international standards such as the JORC Code-an internationally recognized resource and reserve reporting standard, especially in Australia-using AI. This agent assists expert judgment and aims to shorten the time required for investment decision-making.

KIGAM explained that AIMEX is not a system that independently draws conclusions, but rather a 'supporter' that supplements the basis for expert decisions step by step-a concept akin to a 'digital newcomer' deployed on the corporate frontlines.

"Not Technology Transfer, but Co-Definition with Companies"

During the meeting, companies shared their perspectives on advancing data management systems with the adoption of domestic AI platforms, the potential for technological self-reliance, and the field applicability of conversational interfaces (LLMs). There was a consensus that if a system is established that even non-experts can easily use on-site, it would greatly enhance exploration efficiency and decision-making support.

Jeong Sucheol, Director of the Mineral Exploration and Development Research Center at KIGAM, stated, "This strategic research project is not about the institute unilaterally developing and transferring technology, but about co-defining and growing the technologies needed in the field together with companies. We will enhance the completeness of our research planning through ongoing communication."

Kwon Igyeon, President of KIGAM, added, "No matter how excellent the technology, it is difficult to prove its value if it does not reflect the unique data characteristics and operational conditions of companies. Starting with this meeting, we will strengthen our collaborative partnership to ensure that the institute's AI technology becomes a scientific foundation that supports corporate decision-making."