3%
3-5%
20%
What We Do
Blasting Optimization
We use advanced simulations and AI-driven analytics to optimize drilling and blasting patterns for ideal fragmentation. This improves ore breakage, reduces energy spent in crushing, and lowers overall processing costs by ensuring rock is broken into the right size from the start.
Autonomous Haulage & Fleet Efficiency
Implement autonomous haulage systems and intelligent fleet coordination to streamline load and haul cycles. Self-driving haul trucks and optimized dispatch algorithms minimize idle time, save fuel, and improve safety by removing operators from hazardous pit environments.
Mine Planning & Digital Twin Simulation
Develop dynamic mine plans backed by digital twin simulations of your operations. Our solutions let you model mine layouts, production schedules, and what-if scenarios in a virtual environment—helping planners optimize resource extraction, foresee bottlenecks, and adapt quickly to changing conditions.
Centralized Data & Edge Analytics
Integrate siloed data from drills, trucks, processing plants, and sensors into a unified platform. Edge AI processes image and sensor data on-site (even at remote mines) for real-time insights like mineral composition analysis, while cloud analytics aggregate enterprise-wide data. The result is an omnichannel data experience—from control room dashboards to mobile and AR interfaces—giving all stakeholders up-to-the-minute information and AI-driven recommendations.
AR Guidance for Workforce
Equip field technicians and operators with Augmented Reality guidance for complex tasks and training. Using AR headsets or mobile devices, workers can see overlayed instructions, real-time sensor readings, and safety notifications in their physical environment. This hands-free guidance improves task accuracy, reduces human error, and enhances safety during maintenance, inspections, or blasting setup.
Predictive Maintenance & Intelligent Asset Management
Deploy IoT sensors and intelligent systems to continuously monitor the health of heavy equipment (trucks, shovels, drills, conveyors). AI-driven predictive maintenance models and autonomous AI agents analyze vibration, temperature, and performance data to predict failures before they happen. Maintenance can then be scheduled proactively, dramatically reducing unplanned downtime and extending the life of critical assets.
Lower your cost per ton by optimizing upstream processes. Better blast outcomes and real-time ore grading mean less energy spent on crushing and grinding, reducing fuel and power consumption in mineral processing.
Better fragmentation
Achieve more uniform rock fragmentation from optimized blasting. Improved fragmentation boosts downstream efficiency – material flows more smoothly through loaders, crushers, and mills, improving throughput and recovery rates.
Lower equipment downtime
Minimize unplanned outages with predictive maintenance. Continuous equipment health monitoring and AI forecasts ensure you fix issues during planned maintenance windows, keeping trucks, drills, and plants running when they’re needed most.
Remove personnel from high-risk work through automation and AR support. Autonomous haulage reduces exposure to vehicle incidents, and AR-guided maintenance means technicians spend less time in dangerous areas. The result is fewer accidents and a stronger safety culture on site.
Boost production and productivity with digitally optimized workflows. Autonomous fleet coordination, optimized cycle times, and data-driven scheduling help you move more ore with the same resources, increasing daily output and overall efficiency of mine operations.
Make faster, informed decisions at both the pit and boardroom level. With a centralized data ecosystem and live digital twin simulations, operational leaders and planners gain instant visibility into mine status. You can respond immediately to changing conditions, adjust plans on the fly, and base decisions on accurate, up-to-date data rather than guesswork
