Vancouver, British Columbia–(Newsfile Corp. – December 24, 2025) – Gold Hunter Resources Inc. (CSE: HUNT) (OTCQB: HNTRF) (FSE: 6RH) (the “Company” or “Gold Hunter”) is pleased to announce it has signed a definitive agreement with Windfall Geotek (TSXV: WIN) to deploy advanced Artificial Intelligence (AI) and Machine Learning (ML) technology across its district-scale Great Northern Project in Newfoundland.
This engagement allows Gold Hunter to utilize this high-tech exploration tool, naturally progressing from data aggregation to predictive targeting. By integrating the Company’s recently completed district-wide VTEM™ Plus airborne survey with the massive consolidation of historical database, the AI platform is designed to generate high-probability drill targets ahead of the Company’s Q1 2026 drilling campaign.
Sean Kingsley, President & CEO of Gold Hunter, commented:
“We are constantly seeking technical advantages that reduce discovery costs and accelerate our timeline. Having consolidated over 50 kilometres of structure and aggregated a massive dataset, including nearly 500 diamond drill holes and over 36,000 soil samples, we now have the dense and comprehensive data coverage where machine learning is most appropriate. Windfall’s AI will allow our technical team to stress-test targets virtually before mobilizing personnel and equipment. This ensures your capital is deployed on the highest-confidence targets.“
Quote from Windfall Geotek
Michel Fontaine, President & CEO of Windfall Geotek, stated:
“The Great Northern Project is the ideal candidate for our AI technology. It offers a rare combination: a district-scale land package with a dense, diverse historical dataset that has never been processed as a single unified model. By fusing Gold Hunter’s new airborne survey with their extensive geochemical, geophysical, and drilling databases, we can detect deep-seated distinct patterns, similar to those we’ve identified for other major discoveries globally. We expect to deliver final target models by early January 2026.”
The “Smart Layer”: Enhancing the Geological Workflow
The Company views this AI application as a “synthetic intelligence” layer designed to support and augment the geological team’s workflow. The technology will focus on:
Audit Historical Data: Re-evaluating 493 historical drill holes to identify subtle mineralization vectors that may have been overlooked in manual reviews.
Validate Magnetic Targets: Cross-referencing new geophysical anomalies against geochemical footprints to filter out false positives.
