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

Brossard, Québec - TheNewswire - April 21,2026 — Windfall Geotek Inc. (CSE: WIN; OTCQB: WINKF) ("Windfall" or the "Company"), a pioneer in AI-driven mineral

articleWindfall Geotek Inc.April 22, 20264/news/windfall-geotek-delivers-final-ai-driven-targets-at-great-northern-advancing-gold-hunter-resources-toward-inaugural-exploration-and-drill-program
Windfall Geotek Delivers Final AI-Driven Targets at Great Northern, Advancing Gold Hunter Resources Toward Inaugural Exploration and Drill Program

About this update from Windfall Geotek Inc.

Brossard, Québec - TheNewswire - April 21,2026 — Windfall Geotek Inc. (CSE: WIN; OTCQB: WINKF) ("Windfall" or the "Company"), a pioneer in AI-driven mineral exploration since 2005, the Company 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. Key parameters and results are as follows: 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  You can see two maps of the completed database (Figure 1) and targets (Figure 2) provided by Gold Hunter         2 gold AI models were done Figure 1 Figure 2 For additional details, readers are invited to consult the press release issued this morning by Gold Hunter. 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 empower...

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