Boston-based asset generator VerAI Discoveries gave the first public inkling of its novel business model in February, when it announced a partnership with Pampa Metals (CSE: PM).
VerAI has its own portfolio of claims in Chile, and has done the groundwork to pinpoint targets, so in effect it is outsourcing drilling – and confirmation of the targets – to Pampa Metals, which in return will have the option to become a majority partner in whichever projects prove fruitful.
As the company’s name implies, Artificial Intelligence (AI) – or Machine Learning more specifically – plays an important role in identifying the targets. Co-founders Yair Frastai (CEO) and Amitai Axelrod (COO) both have backgrounds in defence intelligence and for several years have been applying the “search and find” techniques learned in that environment to exploration R&D.
The key component is an AI platform that learns and discriminates the unique geophysical signature of existing mineral deposits, and then searches for similar signatures in data amassed across mining jurisdictions where undiscovered deposits are likely.
Traditionally, exploration geologists looking at areas with a lot of cover have been searching for conditions and proxies such as hydrothermal alterations and local lithology or geophysical anomalies, which is an ineffective and subjective approach, often varying according to the experience of the geologist involved, Frastai explained to Chile Explore Report.
However, VerAI’s approach is systematic, objective and measurable. The search object is the profile of a known, economically viable deposit, based on geophysical surveys set at the specific resolution required, he noted, adding that VerAI has profiles for high- and low-sulphidation gold systems as well as porphyry copper, skarn, IOCG and zinc deposits.
For example, deploying a blind test in Arizona the firm’s targeting platform “rediscovered” more than 70% of the existing copper and zinc mineral deposits in the area, with a false-positive rate of 1:5.