TGE uses mineral systems, expert knowledge, and machine learning algorithms to classify and integrate exploration data for regional, district, and deposit-scale mineral target generation. In the deposit scale, in the early exploration stages, we use machine-learning semi-supervised data classification and integration modeling to incorporate various exploration proxies (2D and 3D) and earlier drilling and trenching data (training data) to identify directional drilling targets. In the later stages of exploration, where there are several drilling and trenching, we incorporate these data and other exploration proxies and costs to identify further optimal directional drillings, using machine learning supervised algorithms, to increase the tonnage and class of the ore. 

TGE owns three epithermal gold, one Cu-Au porphyry, two IOGC deposits, and a tank-leaching gold plant. We can invest in favorable gold deposits proposed by second parties to apply complementary exploration and develop them by setting up tank gold leaching plants with a capacity of 200 to 500 tons/day. 

At TGE, our use of Aster, World View 3, and Sentinel-2 satellite imagery data, combined with our deep understanding of mineral system concepts, allows us to map favorable hydrothermal alteration minerals and structures with unparalleled precision. The comprehensive view provided by our maps of color composite, alteration mineral type, alteration intensity, iron oxides intensity, Jarosite-clays intensity, and silica intensity sets a new standard for regional, district, and deposit scale exploration. 

TGE is managed by Dr. Hooshang Asadi Haroni, based in Australia, and Dr. Marc Goossens, based in the Netherlands. Dr. Asadi has 25 years of experience in spectral mineral remote sensing, geospatial data integration modeling, and several activities in various gold and copper exploration stages. These experiences, combined with his earlier experience working in Rio Tinto as an exploration geologist and remote sensing and GIS analyst, led him to discover several gold and copper deposits, mainly using spectral remote sensing in the first exploration stage.

Marc Goossens has about 30 years of experience in spectral remote sensing, mainly managing the Geosense company. His primary expertise is spectral mapping of alteration patterns, mineral target generation, and field spectroscopy, where he carried out several projects for international companies such as Rio Tinto, BHP, Anglo-American, Newmont, Stratex, etc. He worked at Anglo-American and Newmont for several years. In early 2000, Marc found an opportunity in the growing UAV market when he founded URSUS Airborne and pioneered using drones for geoscience applications.