The Future of Exploration
Discover how our platform uses AI to uncover valuable insights from complex geological data, improving exploration outcomes.
Critical Minerals: The Key to Powering a Growing Global Economy
Both the energy transition and ongoing secular economic trends such as the global growth of the middle class require a dramatic increase in the supply of many minerals, including copper, nickel, cobalt, rare earths, etc., in order to supply the burgeoning population of consumers with electricity, electronics, medicine, travel and tourism, and a modern lifestyle.
Yet only 5% of exploration projects result in the discovery of an economic resource.
The Data Challenge
Robust scientific, analytical, and mineral-systems based predictive approaches to exploration show promise to dramatically improve the success rates for discovery of economic resources.
However, data analytics, AI models, and human geo- and data-scientists rely on high-quality, standardized input data to make accurate predictions, and this kind of data is currently rare, both in the public domain, and within all sizes of companies.
Building the Data Foundation
In order to implement AI, mineral-system predictive, and data-driven exploration, vast quantities of geoscience data need to be aggregated, standardized, digitized, and digitalized.
Near-future mineral explorers will need to rely on big data and AI models in order to increase the success rate of discoveries, and we’re building the foundational data layer to make that a reality.