Windfall Geotek's AI System Validated by Magna Terra Minerals' Copper Discoveries

Brossard, Québec — January 14, 2026 — Leads & Copy — Windfall Geotek Inc. (CSE: WIN; OTCQB: WINKF) has confirmed that recent copper discoveries by Magna Terra Minerals (TSX-V: MTT) align with high-priority targets generated by Windfall’s AI system in September 2025.

The company said this milestone underscores the system’s ability to accurately predict mineralization in the Restigouche Trend.

The Bathurst Mining Camp (BMC) internal project covered a surface of 3 417.4 km2, using only public data. A set of 694 variables built from a 1995 Multiparameter survey (magnetic, radiometric, electromagnetic) and the 2004 MEGATEM Survey were gridded to a 50m cell size (model resolution) and used over the regional modeling surface area, corresponding to 1 363 428 data points (pixels).

A total of 26 887 copper assays were used as learning data, originating from the Government of New-Brunswick Energy & Mines department drill hole database, Votorantim Metals Canada, data CD in Goodfellow et al., 2003 Massive Sulfide Deposits of the Bathurst Mining Camp, New-Brunswick, and Northern Maine: Economic Geology Monograph 11, 930 p, and Windfall Geotek Compilation in the Halfmile, Chester and Captain deposits.

Windfall Geotek used Cu ≥ 2 500ppm as the thresholds for selecting the positive copper training data. All copper training points within the modeling area with a reported assay equal or above 2 500ppm were used as positive training points within the training data set.

On the Magna Terra Minerals’s Property, Windfall Geotek generated eleven copper targets with a level of similarity at 85 %.

For additional details on the results, readers can consult the press release issued January 15, 2026, by Magna Terra Minerals.

Michel Fontaine, President and Chief Executive Officer of Windfall Geotek, said it was a privilege to collaborate with the Magna Terra Minerals exploration team, who embrace innovation through AI-driven exploration tools.

By harnessing geophysical data, topography, geological insights, and cutting-edge high-performance computing, Windfall’s AI System uncovers hidden patterns that distinguish promising mineral zones from less prospective areas, empowering smarter, faster, and more confident exploration decisions.

Grigor Heba, Principal Geologist of Windfall Geotek, reviewed and approved the technical information in the news release. He is responsible for ensuring that the related technical information is accurate and acts as a "qualified person" (QP) as defined by National Instrument 43-101, Standards of Disclosure for Mineral Projects.

Windfall Geotek is a global leader in AI-driven mineral exploration, turning complex geoscience data into high-potential discoveries. With a multidisciplinary team, Windfall is expanding its AI expertise into life-saving applications, including landmine and UXO detection. As part of its new business plan, Windfall will validate selected AI-generated targets, demonstrating the power and reliability of its AI system.

Michel Fontaine 514-994-5843

Chairman, President and CEO of Windfall Geotek

Email: Michel@windfallgeotek.com

Website: www.windfallgeotek.com

Additional information about the Company is available under Windfall Geotek’s profile on SEDAR at www.sedar.com.

Source: Windfall Geotek