Announcement • Jun 20

Windfall Geotek Inc. Outlines 1.91 Km Extension Scandium Target at Crater Lake Property

Windfall Geotek Inc. announced the successful modeling and extraction of the geophysical digital signature for the Scandium Crater Lake Deposit for Scandium Canada Ltd. Utilizing its proprietary AI platform, Windfall has completed an extensive computational analysis of entire publicly datasets to fingerprint the signature to their Scandium TG zone Crater Lake deposit in the Canadian province of Québec (QC). The project focused on the TG Scandium zone. The AI system synthesized multi-dimensional public datasets, including high-resolution Magnetic, Radiometric and Topography data, alongside with available drillhole assays and surface rock samples geochemistry. By isolating the specific geological descriptors of the Crater Lake Scandium mineralization, the Company has established a high-fidelity Digital Discovery Pattern. This proprietary signature was deployed across the entire regional land package to identify high-probability anomalies. The system did not find any Scandium target outside of the Scandium Canada claims. Using its proprietary AI System in combination with a strong historical exploration database and SIGEOM data covering 8,803 km², Windfall Geotek identified 3 high-priority Scandium Extension Target Zones, including one of 1.91 km and two extensions of the TG Scandium Deposit (0.44 and 0.53 km). Windfall’s AI System analyzed more than 2,475 historical Scandium bearing assays (mostly in the Crater Lake deposit) using advanced machine-learning algorithms designed to recognize geological patterns and contexts associated with mineralization. In total, 3,529,702 cells measuring 50m x 50m, were evaluated by the Windfall AI System. This data-driven approach significantly decreases exploration time and costs when compared to traditional exploration methodologies. Windfall Geotek’s AI-driven targeting platform achieved a 94% accuracy rate in detecting all historically known scandium occurrences at Crater Lake, confirming the strength of its predictive model. No equivalent signatures were identified elsewhere on the area of interest cover by the Geophysics (8,803 km²). By analyzing over 8,803 km² of data and narrowing the search area by 99%, the technology has isolated a high-confidence digital signature directly aligned with the known mineralization. The absence of similar signatures elsewhere reinforces both the uniqueness of the deposit and the potential for a significant scandium discovery.

Announcement • Apr 24

Windfall Geotek Delivers Final AI-Driven Targets At Great Northern, Advancing Gold Hunter Resources Toward Inaugural Exploration and Drill Program

Windfall Geotek Inc. has completed district-scale machine-learning targeting at the Great Northern Project in northwest Newfoundland, generating 40 gold targets—including five high-priority zones confirmed by both models. Windfall Geotek holds a strategic position in Gold Hunter Resources, comprising 500,000 common shares and 500,000 warrants, reinforcing its alignment with the Company’s growth and exploration success. Gold Hunter engaged Windfall Geotek to apply its proprietary AI System across the extensive dataset compiled at the Great Northern Project, drawing on 398 drillholes containing 23,493 gold assays, 7,850 surface rock samples, and geophysical data, including the Company's first-ever district-scale VTEM™ Plus and Horizontal Magnetic Gradiometer survey completed in October 2025. The AI System identifies areas that share geological characteristics with previously reported mineralized occurrences, providing an additional layer of support for the Company’s technical team. Two models were applied: Model 1 covered 864.30 km² and Model 2 covered 286.37 km². Model 1 training dataset: 20,709 gold assays of which 2,231 met the Au = 0.5 ppm threshold. Model 2 training dataset: 29,861 gold assays of which 5,072 met the Au = 0.5 ppm threshold. 40 gold exploration targets generated in total: 9 targets from Model 1 at a 90% similarity threshold, 31 targets from Model 2 at a 70% similarity threshold. Higher similarity thresholds indicate a stronger match to known mineralized signatures. 5 high-priority areas identified by both models, representing elevated zones for follow-up evaluation. By harnessing geophysical data, topography, geological insights, and 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. The technical information presented in this news release has been reviewed and approved by Grigor Heba, Principal Geologist of Windfall Geotek, who is responsible for ensuring that the related technical information provided in this news release is accurate and acts as a qualified person (QP) as defined by National Instrument 43-101, Standards of Disclosure for Mineral Projects. Windfall validates selected AI-generated targets to demonstrate the power and reliability of its system. Windfall delivers tangible results, real-world impact, and strong growth potential.

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Windfall Geotek Inc. Outlines 1.91 Km Extension Scandium Target at Crater Lake Property

Windfall Geotek Delivers Final AI-Driven Targets At Great Northern, Advancing Gold Hunter Resources Toward Inaugural Exploration and Drill Program

Windfall Geotek Inc. announced that it has received CAD 0.68 million in funding

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