Capturing more value from minerals while simultaneously reducing carbon footprint through synthetic biology and chemical innovations that improve methods of remediation and valorization of tailings.
Developing data analysis and niche fields like geomechanics and geometallurgy to uncover new methods for the discovery, extraction, and process of minerals.
Improving the efficiency of resource conversion drilling using algorithms that help exceed process objectives and consume as little energy as possible.
Integrating the value chain into all components of mine design, operations, and closures, reducing the water required for mineral processing, dust suppression, and slurry transport.
Advancing synthetic biology, chemical engineering, and data-driven machinery to create closed-loop production cycles in mining.
Setting a new bar for safety using robust, actionable insights from AR/VR, unmanned aerial vehicles, and advanced imaging technologies that ultimately keep workers out of hazardous environments.
Developing platforms capable of foretelling failures, reducing downtime, and increasing operational efficiency using predictive analytics and A.I.
Identifying beneficial microbes and their enzymes to create sustainable bio-chemicals.
Converting CO2 emissions from power plants into exfoliated inorganic solids.
Combining chemical-sensing technology and cloud-based data solutions to enable monitoring and optimization of cyanide usage in gold leaching processes.
Using autonomous aerial robot systems (UAVs) to gather data in complex, GPS-denied industrial environments.
Developing proprietary additives for dispersants, dewatering aids, flow aids, and grinding aids to reduce ore-processing costs.
Generating photo-realistic synthetic data to enhance Vision AI models and create limitless amounts of on-demand training.
Using hydrometallurgical technology to refine mineral mixtures including low-grade lime, dolime, steel and iron slag, rare earth metals, and lithium.
Deploying a spatial business intelligence platform to consolidate and visualize organization-wide data in the context of real-world locations.
Using directional drilling equipment and advanced imaging technology to develop a precise excavation technique that’s sustainable, safe, and economical.
Developing A.I. algorithms to improve the efficiency of resource conversion drilling during pre-production activity.
Applying predictive A.I. and Embedded Acoustic Recognition Sensors (EARS) to detect faults in industrial equipment.
Offering an end-to-end, zero-carbon solution for sustainable harvesting of valuable metals from hazardous mining waste.
Conceptualizing, patenting, and developing new technologies in marine robotics, propulsion, electricity generation, and pumping.
Developing A.I.-infused and industrial analytics applications to predict failures of industrial assets.
Developing multi-domain robotic control solutions serving security and defense, energy, infrastructure, and assistive robotics markets.
