Brossard, Quebec –Newswire – June 18, 2026 — Windfall Geotek Inc. (CSE: WIN; OTCQB: WINKF) (“Windfall” or “Company”), The company, a leader in the application of artificial intelligence (AI) and machine learning for mineral discovery since 2005, is pleased to announce that it has successfully modeled and extracted a geophysical “digital signature” of Scandium Canada Inc.’s (TSX-V: SCD) Scandium Crater Lake deposit (see press release April 3, 2025 – New Mineral Estimates). https://wp-sccanada-2024.s3.ca-central-1.amazonaws.com/media/2025/04/03165017/04-03-2025-NR-SCD.pdf)
Utilizing its proprietary AI platform, Windfall has completed extensive computational analysis across publicly available datasets to characterize the Scandium TG Zone Crater Lake deposit in Canada. quebec (QC).
Technical overview and methodology
This project focused on the TG scandium zone. Key technical highlights include:
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Data integration: The AI system synthesized multidimensional public datasets including high-resolution magnetic data (Figure 1), radiometric data, and topographic data, as well as available drillhole analysis and geochemistry of surface rock samples (Figure 2).
Signature Extraction: By isolating specific geological descriptors of scandium mineralization in Crater Lake, we established a high-fidelity digital discovery pattern. Target generation: This unique signature was deployed across regional land packages to identify high-probability anomalies. The system detected no external scandium targets. scandium canada claim.
The power of digital exploration
Use your unique AI system in combination with powerful historical exploration databases and SIGEOM data Windfall Geotek has identified three high-priority scandium expansion target zones covering 8,803 km². This includes one of 1.91 km (Fig. 2); TG scandium deposits (0.44 km and 0.53 km). Find out exactly where the company will be drilling in the coming weeks.
Windfall’s AI system analyzed more than 2,475 historical scandium-bearing assays, primarily in Crater Lake deposits, using advanced machine learning algorithms designed to recognize geological patterns and conditions associated with mineralization. A total of 3 529 702 cells of 50m x 50m were evaluated by the Windfall AI system. This data-driven approach significantly reduces exploration time and costs compared to traditional exploration methods..
Read the work summary:
https://www.windfallgeotek.com/wp-content/uploads/2026/02/Crater_Lake_Sc_REE_Internal_Project_Work_summary.pdf
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Figure 1
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Figure 2
Management commentary
Michel Fontaine, President and CEO of Windfall Geotek, commented: “Windfall Geotek’s AI-driven targeting platform achieved 94% accuracy in detecting all historically known scandium occurrences at Crater Lake, confirming the strength of its predictive model. Importantly, no comparable signatures have been identified elsewhere in the geophysical target area (8,803 km²), highlighting the rarity and strategic importance of the deposit. By analyzing over 8,803 km² of data and narrowing the search radius by 99%, our technology isolated highly reliable digital signatures that directly match known calcifications. The absence of similar traces elsewhere strengthens both the uniqueness of the deposit and the possibility of a significant scandium discovery.”
technical details
The technical information contained in this news release has been reviewed and approved by Grigor Heba, Windfall Geotek’s Chief Geologist and a “Qualified Person” (QP) as defined by National Instrument 43-101.
About Windfall Geotek – AI-Powered Discovery Since 2005
Windfall Geotek is a global leader in AI-driven mineral exploration, turning complex geoscience data into potential discoveries with unparalleled speed and precision. Windfall works with a multidisciplinary team of geophysicists, geologists, and AI experts to validate selected AI-generated targets to demonstrate system reliability. The company has expanded its expertise beyond mining to include lifesaving applications such as landmine and unexploded ordnance detection.
For more information, please contact us below.
Michelle Fontaine 514-994-5843
Chairman, President and CEO of Windfall Geotek
Email: Michel@windfallgeotek.com
Website: www.windfallgeotek.com
Additional information about the company can be found on Windfall Geotek’s profile on SEDAR. www.sedar.com. Neither TSX Venture Exchange nor its Regulation Services Provider (as that term is defined in the policies of the TSX Venture Exchange) accepts responsibility for the adequacy or accuracy of this release.
Cautionary Note Regarding Forward-Looking Information: This news release contains forward-looking information that relates to future events and future performance and reflects management’s current expectations and assumptions. This news release contains information regarding changes in management and expectations related thereto. Additionally, other information that is not historical fact may be forward-looking information. Such forward-looking information reflects management’s current beliefs and is based on assumptions made using information currently available to the Company. Such factors include, but are not limited to, the new management’s performance differing materially from expectations; Capital and operating costs differ significantly from estimates. delays in obtaining, or failure to obtain, necessary government, environmental or other approvals for projects; uncertainties regarding the availability and cost of future financing needs; Changes in the stock market. Inflation; fluctuations in commodity prices. Delays in project development. and those risks are described in the Company’s public documents filed under Windfall Geotek’s issuer profile on SEDAR (www.sedar.com). Investors are cautioned that these forward-looking statements are not promises or guarantees and are subject to risks and uncertainties that could cause future results to differ materially from expectations. These forward-looking statements are made as of the date hereof, and we undertake no obligation to update or revise them to reflect new events or circumstances, except as required by applicable securities laws.
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