Digital Twins for Optimization of Critical Minerals Deposit Discovery & Exploration
to close their Supply Gap to enable the Energy Transition worldwide
The Energy Transition is dependent on a wide range of critical minerals.
The average Electric Vehicle battery contains ~150 kg and ~$5,000 of these critical materials and rare earth elements.
Known supply of critical minerals will fall dramatically short of demand, even assuming 100% recycling, creating a $ 15 trillion opportunity.
LATAM is the next Critical Minerals commodity superpower for the energy transition.
Historically, all “easy” deposits have been discovered. Now deeper more complex deposits are much harder to discover.
The problem is Eroom's law of mining exploration.
Current state of mineral deposit discovery problem: only 1/1000 sites studied turn into a feasible mine.
Platform* for Optimization of Critical Mineral Discovery and Exploration
Integration of geological, geochemical, geophysical, metallogenic, environmental and infrastructure enablement datasets in space and time across the Discovery & Exploration process.
AI-Driven Mineral Exploration
Finding where to explore next.
Integrates multidisciplinary geoscience data with artificial intelligence and deep geologic expertise to build probabilistic models of mineral resource potential, helping exploration teams identify patterns, map prospectivity, and prioritize high-potential 3D volumes for further investigation.
Integrate
Bring multidisciplinary geoscience data together into a unified spatial and temporal model.
Prioritize
Use computational geology and geologic expertise to identify priority areas with key relationships associated with mineralization.
Infer
Generate probabilistic inversion models to characterize the critical mineral resource base.
ITA 4.0
Accelerating exploration from target to resource model.
Integrates autonomous data acquisition, field analysis, artificial intelligence, and digital twins into an end-to-end exploration system that continuously incorporates new geological evidence to characterize deposits, reduce uncertainty, and optimize the next exploration action.
Sense
Deploy aerial and ground-based systems to acquire geophysical data and collect targeted field samples.
Analyze
Bring geological, geophysical, and geochemical analysis closer to the field to shorten the time between sampling and results.
Prospect
Use probabilistic AI to determine where additional investigation and drilling can generate the greatest information value.
Learn
Continuously incorporate new evidence to refine the geologic digital twin and improve probabilistic resource models.
Mineral discovery is fundamentally a problem of making decisions under uncertainty.
Every survey, sample, geological observation, and drilling campaign provides new evidence about what may exist beneath the surface.
ItaDT brings this evidence together into a continuously evolving digital representation of the mineral system—helping exploration teams move from fragmented interpretation toward probabilistic, data-informed decision-making.