Unified Modelling
The GAUGE architecture interprets complex geological systems as layered interconnected fluid events. By treating mineralization, weathering as a unified fluid flow problem, the system delivers inherent geochemical consistency across the entire deposit. GAUGE is inspired after recent breakthroughs in weather & hurricane modelling.
Many Parameters, One Backbone
The GAUGE system models resource, weathering, geology, and hardness parameters simultaneously. This enables for absolute cross-parameter consistency making the system well suited for geometallurgy.
Fault Models as Input
Mother nature will warp the fluid system over time. GAUGE directly uses fault models as input to refine its orebody interpretation.
Designed for Geometallurgy
GAUGE cross parameter consistency enables for reliable geometallurgical modelling. The system leverages this to reliably predict concentrate quality, recovery, throughput on a daily blend basis for all feed over life of mine.
Blend-Level
Estimation
GAUGE estimates feed characteristics on a blend basis.
We integrate these conclusions with an ore controller & mine planner capable of maximizing NPV by optimizing the daily blend through batching and blending.
Resource Models that Reconcile
GAUGE models are made for geostatistical consistency, locally accurate domains, and reliable mill reconciliation. Below are results from our first resource deployment.
Ore Control
The fastest return-on-investment is using the GAUGE system for ore control. GAUGE models reconciled a 6.5% higher head grade in ore volumes of matching size during 2025 mining.
Mine Planning
Reduced monthly mill reconciliation error by 38% and identified 18% more ore volumes for grade control drilling that reconciled at identical precision to the site kriging model ensuring minimum ore is left behind.
Without Endless Drilling
GAUGE comes with its fully integrated drill planner for guiding grade control and life extension drilling. Below are results from our first resource deployment.
Life Extension Drilling
GAUGE’s reliable spacing estimation and grade control platform identifies gain zones expected to hold 1100koz of Au with 30% average conversion rate where waste currently estimated.
Grade Control Drilling
GAUGE requires 22-28% less grade control drilling by being a more reliable estimator and guiding drilling based on information gain.
Made by Domain Experts
Marko Huang
Chief Scientist
PhD Computer Science, UofT - AI Matter Lab. Expert in Quantum Chemistry & Matter.
marko@geomet.ai
Luke Ashford Hodges
SENIOR RESOURCE GEOLOGIST
BSc Geology, MBA(Technology), AusIMM(JORC Code).
+10yrs in resource geology (Newmont, MRL, 29Metals).
luke@geomet.ai
Max Briggs
Chief Metallurgist
BEng(Met), MSc(Proj Mgmt), GradDip(AppFin) FAusIMM. 25+ years in Metallurgy.
max@geomet.ai
David First
CHIEF GEOLOGIST
BSc (Hon) Royal School of Mines, Imperial College.
35yrs+ of exploration experience.
david@geomet.ai
Matthew Hoffer
DIRECTOR OF GEOLOGY - US
MSc, BSc Geology.
20+ years in mine geology (Newmont, Hycroft, Coeur).
matt@geomet.ai