Windfall Geotek AI System Identifies Exploration Targets for Hi-View Resources’ Toodoggone Projects

Brossard, Québec — May 14, 2026 — Leads & Copy — Windfall Geotek Inc. (CSE: WIN; OTCQB: WINKF) has utilized its Machine Learning AI System to identify high-probability gold, copper, and silver exploration targets on Hi-View Resources’ Toodoggone Projects in north-central British Columbia.

Windfall Geotek, a mineral exploration company specializing in Artificial Intelligence (AI) since 2005, announced the results of its AI evaluation of Hi-View Resources' Toodoggone Project.

The Toodoggone Projects, spanning over 27,000 hectares, are situated within British Columbia’s Golden Horseshoe, part of the Toodoggone Gold & Copper District. The area is located near major discoveries, including Aurora, and advanced development sites like Kemess, Ranch, Lawyers, Mets, Baker, and Shasta.

In April 2026, Windfall Geotek's AI system analyzed numerous variables, including magnetic and topographic data, along with gold, copper, and silver assay data, from Hi-View Resources’ Toodoggone Project.

The AI evaluation generated 14 gold targets, five copper targets, and 31 silver targets across Hi-View Resources’ Toodoggone Projects. These targets exhibit an 80% - 85% similarity in mineralized rocks. Four areas—Black Pearl, Lawyers East, and Saunders Properties—were simultaneously highlighted by gold, copper, and silver AI models.

Michel Fontaine, President and CEO of Windfall Geotek, stated that overburden obscuring surface geology is a major challenge in mineral exploration. Windfall’s AI-driven platform identifies shallow targets (0–300 meters) beneath swamps and ground cover where outcrops are not visible.

Fontaine explained that machine learning identifies and reproduces geological patterns from existing data by extracting the digital signature of a known deposit and applying it to historical datasets. This approach can reduce the exploration footprint by up to 98–99%, enabling faster and more targeted exploration.

Nader Mostaghimi, Vice President Exploration, and Nick Horsley, CEO of Hi-View Resources, expressed satisfaction with the AI-generated targets. They noted that the results reaffirmed their existing knowledge-driven approach, added confidence to their work, and provided new targets for further exploration. They are eager to validate the most important targets and believe the exercise has added value to their project.

Windfall’s AI System uses geophysical data, topography, geological insights, and high-performance computing to identify promising mineral zones, which allows for faster exploration decisions.

Grigor Heba, Principal Geologist of Windfall Geotek, reviewed and approved the technical information in the news release. He is a qualified person (QP) as defined by National Instrument 43-101.

Windfall Geotek is a leader in AI-driven mineral exploration, converting geoscience data into discoveries. The company is expanding its AI expertise into applications such as landmine and UXO detection. Windfall will validate selected AI-generated targets to demonstrate the effectiveness of its AI system.

Innovative, proven, and scalable, Windfall delivers tangible results, real-world impact, and strong growth potential.

Source: Windfall Geotek