GoldSpot said its AI-enabled solutions will analyse historic geological, geochemical, and geophysical data to identify new targets.
"Sail Pond is a project we are familiar with and are excited by the potential it holds. [P]revious operators have performed systematic exploration and have collected a significant amount of data our team will extract significant value from," said Denis Laviolette, executive chairman and president of GoldSpot.
Mathew Wilson, chief executive officer of Sterling Metals, noted that the site needed advanced reviewing, interpretation, and the processing of multiple data sets, in order to generate the best of several drill prospects.
"We are confident that GoldSpot's technology will bring these targets to light and assist us in uncovering Canada's next high-grade silver district," said Wilson.
GoldSpot will first use subject matter experts to homogenise, integrate, process, and interpret exploration datasets such as geological maps, drill logs, geophysics, surface and downhole geochemistry, and structural orientation data.
The interpreted and derived products will be used as input layers to GoldSpot's proprietary AI techniques, which will then be validated by the company's team of expert geoscientists, in collaboration with Sterling Metal's technical team.
