Success Story – Digital Twin & AI Agents for the Mining Industry
Deployment of an AI-augmented digital industrial twin to control complex mining operations in real-time.
A unified platform connecting field, process, and decision for more efficient and sustainable operations.
The solution is based on a digital twin that is continuously connected to the equipment, sensors, and IT/OT systems at the mining site.
The agentic AI analyzes operational flows, detects process deviations, and assists teams with contextualized recommendations.
Edge AI execution ensures low latency, high operational resilience, and complete sovereignty over industrial data.
Technical description :
The platform integrates the entire mining value chain into a unified digital environment. It aggregates real-time data from the field, process models, and AI agents to supervise, analyze, and optimize operations.
Solutions and Deployed Products:
Digital twin of the mining site (crushing, grinding, flotation, leaching, energy, water)
Industrial sensors and field IoT
Connection to IT/OT industrial systems
AI agent platform for analysis and recommendations
Real-time monitoring modules and industrial dashboards
Edge AI execution for local computation and operational resilience
The solution is deployed directly at the heart of mining operations, from the crushing workshops to the control room.
The digital twin provides a unified real-time view of the process, while AI detects anomalies, explains likely causes, and suggests corrective actions.
This approach links industrial performance, energy management, and environmental challenges into a single operational system.
Results and Impact:
Improvement in facility availability, reduction of unplanned shutdowns, continuous optimization of yields and energy and water consumption, faster and more reliable industrial decisions, with a sovereign architecture serving the teams and the environment.
