The OreFox exploration process involves meeting with the key stakeholders to learn about the project, ensure we are addressing their questions and concerns, and confirm they understand the services available

Prospector AI

Once the project is defined, OreFox will review all available literature, open file reports and data on the area.
Prospector AI
The Prospector AI system is a data-driven, deterministic system, inspired by greenfields exploration work in areas of low data density. It uses a supervised deep learning algorithm that compares the data of Australian economic mineral deposits against the data of areas yet to be explored. The system permits an exploration company to compare the area they want to explore with the data of thousands of known economic mineral deposits, allowing hundreds of square kilometres to be analysed quickly, thus decreasing risk in exploration and enhancing the efficiency of their exploration programs. In short, it gives experts more time in the field, exploring in the right areas.
Results from the Prospector AI system are mapped, using ArcGIS, and the results are discussed with the key project personnel.
To allow for domain adaptation, the Prospector AI system is cloned, and transfer learning incorporated using local mineral deposits. Multiple testing and retraining stages are undertaken, due to the limited size of the training dataset provided.

Hunter AI

Hunter AI
Hunter AI is a hybrid probabilistic system which uses both deep learning and machine learning to refine targets generated from the Prospector AI.
This works by applying various additional data, allowing the system to produce defined target locations for drilling. Hunter AI technology is capable of GIS-based, machine learning, multi-mineral prospectivity mapping. By using artificial neural networks, support vector machine, random forest and ADAboost for any other economic mineral possibilities, Hunter AI can produce a detailed visual representation of target locations.
The output of these combined systems is a prospectivity map and spatial dataset which highlight the target exploration areas. These are usually expressed in hexagonal grids, which assists in reducing sampling bias due to edge effects of the grid shape and can help in the breakup of artificial linear patterns produced by square grid-based systems.

Data Mine AI

Data Mine AI
Previous exploration data is added to the system, and data analytics begin.
The data mining process allows the algorithm , to develop new hypotheses from the interpretation of vast quantities of data.
Data insights are sent to the customer as they are found
Target AI
The OreFox Targeting AI finds non-linear relationships in assay data and can predict where mineralisation should be in drill holes or assays, allowing a better understanding of the mineralised system.
The Target AI primarily provides insights for drilling by using data from the Data Mining system. Drill hole assay data is analysed to check for correlations in logging and assays and to check for deviations in expected grades. OreFox can take your drill & assay data, and create a digital twin orebody, allowing you new insights into the projects mineralisation. We use our Target & Data Mining AI’s a specifically train them to your orebody. Your data is analysed continuously by the OreFox systems, to find new insights.
The picture to the right was the inspiration for the Target AI, the exploration report stated “the target was considered to have low potential”
Drilling found 7.5m @2.9g/t (including 1m @ 12.6g/t)
Mining found 3,500 ounces of gold in 7 tonnes of quartz (1.5% Au)
  • R&D Tax Incentive for exploration
  • Ask us about the eligibility of your exploration project to receive the R&D Tax incentive if you partner with OreFox. The R&D Tax Incentive provides a tax offset for some of a company's cost of doing eligible research and development (R&D) activities by reducing a company's income tax liability.
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