Target Ranking and Confidence Quantification

This service delivers ranked targets with quantified uncertainty, providing decision-ready information for exploration teams. By integrating various data sources like geophysics, geology, mineralogy, and machine learning, Fleet generates a comprehensive understanding of the subsurface. The ML model is trained on the customer’s drillhole database and supervised by their ground truth, ensuring that every ranking is traceable and defensible. This allows for the identification of high-priority targets and the ability to confidently commit capital, reducing the risk of misallocated drilling spend.