CodeMiner's Vera MineOps platform integrates with existing mine‑planning systems to provide remote‑controlled autonomous equipment, AI‑driven route optimization, and a live 3D digital twin. The solution delivers real‑time fleet tracking, predictive maintenance, production forecasting, and safety alerts through open APIs and a cloud‑native analytics stack. It enables large open‑pit and underground operators to improve efficiency, reduce downtime, and enhance worker safety.
Funding
Funding not disclosed
Founders
Product
Problem
Mining operations often rely on manual equipment control and fragmented data sources, leading to elevated safety risks, suboptimal fleet utilization, and limited visibility into production performance. The lack of integrated, real‑time analytics hampers proactive maintenance and sustainable resource management.
Solution
CodeMiner delivers the Vera MineOps platform, an end‑to‑end suite that overlays existing mine‑planning systems with autonomous control, AI‑driven optimization, and a live 3D digital twin of the site. Operators can remotely command equipment through a secure telemetry link, while the AI Trainer continuously computes optimal haul routes and monitors fleet positions in real time. Predictive analytics powered by machine‑learning models generate production forecasts and maintenance alerts, enabling planners to adjust schedules before bottlenecks occur. A dedicated Safety Sentinel module streams sensor data to trigger instant personnel alerts and emergency responses. Immersive VR training replicates the mine environment for skill development without exposing workers to on‑site hazards. All components communicate via open APIs, allowing seamless data exchange with legacy ERP and EHS systems.
Target Audience
Primary customers are large‑scale open‑pit and underground mining operators, including fleet managers, safety officers, and production planners who require integrated automation and analytics to improve operational efficiency and worker safety.
Features
- Secure remote‑control interface with encrypted telemetry for both dynamic and static mining equipment
- AI Trainer that performs real‑time route optimization, fleet tracking, and autonomous dispatching using reinforcement‑learning algorithms
- AI Performance Analytics delivering production forecasting, anomaly detection, and predictive maintenance via supervised machine‑learning pipelines
- Security Sentinel real‑time monitoring and geofencing alerts integrated with wearable and environmental sensors
- 3D Digital Twin that continuously updates a geo‑referenced mesh of the mine using IoT and LiDAR feeds
- VR‑based simulation training environment with scenario scripting and performance analytics for operator certification
- Open RESTful and OPC‑UA APIs for bidirectional data flow with existing mine‑planning, ERP, and EHS platforms
- Cloud‑native analytics stack with containerized microservices for scalable processing and role‑based access control