Case Study: GoldSpot Discoveries accelerates gold exploration with Seequent Central and Leapfrog

A Seequent Case Study

Preview of the GoldSpot Discoveries Case Study

GoldSpot Discoveries finds gold in a maze of data using Seequent Central and AI technology

GoldSpot Discoveries, a technology company using machine learning for resource exploration, needed a better way to organize and share complex geological data from Gran Colombia Gold’s Segovia operations. Working with Seequent, the team used Seequent Central and Leapfrog to manage a mix of structured and unstructured files while helping geoscience experts refine the inputs needed for accurate AI-driven exploration models.

Seequent Central provided a secure, cloud-based data room with version control, comments, and an audit trail, while Leapfrog helped GoldSpot build and update 3D geological models from field data and collaborate across offices and time zones. The result was faster workflows, less confusion over data versions, and fewer mistakes, enabling GoldSpot to produce exploration targets more quickly and with greater confidence.


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GoldSpot Discoveries

Shawn Hood

Principal Geologist and Vice President of Technical Services


Seequent

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