Out compact RHINO IoT sensor package can be installed in minutes and measures a variety of previously unavailable rock properties. These seismic while drilling sensor devices are deployed on drills and collect measurements along every 1-centimeter of drilled blast hole, far exceeding the resolution possible with conventional MWD technology. Blast-critical subsurface information measured by this revolutionary tool includes compressional and shear moduli, compressive strength, density, velocity, and more. Such high-resolution insights enables highly accurate detection of waste boundaries, faults, fractures, and many grade indicators. Once data is recorded, it is streamed to the cloud and analyzed to characterize your orebody.

The DataCloud Platform measures, manages, and analyzes existing geoscience data combined with the more granular rock properties generated by our RHINO sensors. By reconciling all of this critical data in real-time, mine planning teams receive updated orebody knowledge and can make faster decisions. Applying our proprietary machine learning and artificial intelligence algorithms in the cloud makes your insights available via browsers or mobile devices with a simple log in. Through an intuitive user interface your data can be used in the DataCloud Platform or exported to third-party software for easy integration with existing workflows. We've partnered with many software companies to ensure your workflow is not disrupted.

DataCloud’s geology specific solution sets have been designed to reduce operating pain points for some of the mining industry’s largest markets. Our integrated technology provides rock mass characterization data and real-time insights for iron ore, steelmaking coal, base metals, and precious metals. This includes grade proxy measurements for ore and waste boundary detection, geostopping above coal seams for loss avoidance, and next bench predictions to optimize burden and spacing.

To learn more about each individual solution set, read on for iron ore, met coal, or base metals.