MineSense Technologies

MineSense Technologies

Revolutionizing the global mining industry that is under pressure to deliver more metals with less impact on the environment. Learn more
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MineSense is a pioneering startup in the digital mining solutions sector. The company has developed a unique technology that provides real-time data on ore grade and characteristics, enabling mining companies to make informed decisions at the extraction face. This technology, known as ShovelSense, is a robust system that can be installed on existing mining equipment to scan and measure the material in every shovel bucket.

The company's primary clients are mining companies that are looking to optimize their operations, reduce waste, and increase profits. By providing detailed ore characteristics and classification at the extraction face, MineSense helps these companies reduce both ore losses and waste dilution at the front end of the process. This, in turn, leads to significant increases in profits and better sustainability performance.

MineSense operates in the mining industry, a market that is increasingly turning to digital solutions to improve efficiency and sustainability. The company's business model is based on selling its hardware and software system, which is enabled by proprietary algorithms.

In addition to selling its technology, MineSense also generates revenue by providing services that help mining companies optimize their operations. These services include helping companies make better routing decisions through the precise definition of ore grade at the truck level, and connecting pit grade to concentrator grade to optimize blending and campaigning decisions.

In summary, MineSense is a digital mining solutions company that provides real-time data on ore grade and characteristics, helping mining companies optimize their operations, reduce waste, and increase profits.

Keywords: Digital Mining Solutions, Real-Time Data, Ore Grade, Ore Characteristics, ShovelSense, Mining Equipment, Ore Loss Reduction, Waste Dilution Reduction, Routing Decisions, Operational Optimization.

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