A full-stack AI exploration workflow from regional screening to field feedback.
GAIA is not a single model. It is a decision system covering data, models, target generation, validation and learning.
Six phases designed for real exploration decisions.
Regional Screening
Rapidly identify metallogenic belts, exclude low-value areas and reduce blind early spending.
Target Generation
Rank targets by geological logic, anomaly combinations, metallogenic models, structural position and uncertainty.
Structural Interpretation
Interpret faults, pathways, ore-controlling structures and deep extensions of known mineralization.
Drill Optimization
Use scenario simulation, reinforcement learning logic and cost-benefit thinking to support drill location and sequence decisions.
Field Validation
Sampling, geophysics, trenching and drilling test the model in the real field.
Iterative Learning
Successes and failures flow back into the system to improve future project judgment.
The value of AI is not more prediction points.
The value is better exploration decisions, focused field validation and continuous improvement.