Complement your mining operations with AI
Plan your operations, follow up and get metrics of your management. Optimize and digitize your human resources process, license management, access control, machinery control, lifting, forced application, among others.
Uses geological data, AI modeling and resource estimation to optimize production while minimizing costs and environmental impact.Includes budgeting, equipment selection and staffing for efficient operation.
Focuses on protecting workers and equipment by identifying hazards, assessing risks and complying with safety regulations.It uses real-time monitoring systems, AI-based predictive tools and training programs to prevent accidents and ensure emergency preparedness.
Executes the mining plan by deploying machinery, manpower and logistical support.Integrates technologies such as automation, AI and IoT to improve efficiency and track progress. Adapts operations based on feedback and monitoring to effectively address challenges and achieve objectives.
Time optimization
Dynamic scheduling: AI streamlines scheduling by analyzing real-time data on vehicle availability, routing and material flow.
Minimized downtime: Predictive maintenance ensures that vehicles and equipment are checked before breakdowns occur, keeping operations running smoothly.
Faster decision making: AI-based information reduces manual planning time, enabling faster adjustments to operations.
Increased safety
Real-time monitoring: AI-powered systems track equipment, vehicles and personnel, detecting unsafe conditions or behaviors such as speeding or fatigue.
Automatic alerts: AI issues warnings in case of hazards such as bad weather, mechanical breakdowns or obstacles on the route.
Collision avoidance: Advanced AI sensors in autonomous vehicles and equipment prevent accidents in high-risk environments.
Predictive modules
Equipment maintenance: Predictive models analyze sensor data to predict equipment failures, reducing costly and unexpected breakdowns.
Demand forecasting: AI predicts material needs, helping companies to proactively plan logistics and avoid bottlenecks.
Operational information: Machine learning identifies patterns in logistics operations and provides practical information for optimization.
AI in mining
The main technology trend in mining at the moment is process automation, which is largely related to the mining industry’s concern for safety, but also to reducing labor costs and improving accuracy. Autonomous vehicles can be used to explore or mine unstable subway deposits that would be too dangerous for workers.
By combining machine learning with new ways of analyzing data, mines will be able to create more accurate ways to manage and plan their operations.
Project: Booking Predictor
We have collaborated with Collahuasi to build a predictive travel booking system designed to optimize the transportation and attendance process for workers, providing a comprehensive flow of information to optimize shifts and tasks.
Transform your project
At Cursor, we specialize in delivering tailored AI solutions that align with your unique project objectives. Whether it's automating complex processes, improving customer experience or making data-driven decisions, we're here to help you harness the power of AI to achieve exceptional results.