Stabilise operations without slowing down production
Mining operations rely on a continuous chain of extraction, crushing, grinding and beneficiation where ore variability, mechanical conditions and energy balance directly impact metallurgical recovery and operational availability.
Even minor deviations can lead to recovery losses, energy overconsumption, equipment instability or costly production interruptions.
Indao transforms data from crushing, grinding, classification, flotation circuits and utilities into reliable operational indicators and concrete recommendations.
Why mining processes are different
Processes highly dependent on ore characteristics, where equipment performance and energy efficiency are tightly interconnected.
Constant ore variability
Highly mechanical and energy-intensive processes
Interconnected beneficiation chains
The challenges you face
- Crushing and grinding stability: maintain throughput and particle size despite ore variability
- Metallurgical recovery: optimise recovery during flotation or separation stages
- Energy performance: reduce kWh per tonne processed in energy-intensive operations
- Equipment availability: anticipate wear, overloads and mechanical instabilities
- Water and slurry management: control hydraulic circuits and solid-liquid separation conditions
The limits of your current tools
- Operations often rely on historical indicators rather than real-time dynamics
- Difficulty linking ore characteristics to actual equipment performance
- Data fragmented across extraction, processing and energy systems
- Fixed-threshold alarms poorly suited to rapid material variations
- Limited tools to anticipate recovery losses or energy inefficiencies
What Indao delivers in practice
We design advanced analytics solutions that genuinely improve mining process performance, with AI as a support : explainable, controlled and field-oriented.
What you gain
Operational results, not just more dashboards
Improved metallurgical recovery
Early detection of deviations
→ better material recovery
More stable production
Better control of ore variability
→ reduced process instability
Optimised energy performance
Lower kWh per tonne through more precise control
Increased equipment availability
Anticipation of overloads and wear mechanisms
More robust operational decisions
Clear understanding of interactions between ore, process and energy
Controlled integration
Progressive, secure deployment aligned with existing practices
See clearly. Act decisively. Optimise sustainably.
Decisions that have already proven their impact
- Process Performance Optimization
2Valorise
Optimising the steam network to maximise cogeneration plant performance
- Process Performance Optimization
CRM Group
Identifying key parameters in hot rolling to better control process performance
- Data-driven Decision-Making
EKO-MYŚL
Centralising waste and energy data to improve operational control
Want to make decisions differently?
Let’s explore how your data can become a concrete operational lever.
Whatever your activity in the metals & minerals sector
Concrete levers at the core of your processes
Cement
Optimise thermal process control (kiln, preheating, grinding) by stabilising operating conditions and reducing specific energy intensity per tonne produced
Steel
Improve the stability of metallurgical processes by controlling process deviations and optimising the energy efficiency of critical units
Non-ferrous metals
Correlate process parameters, energy consumption and material quality to reduce metallurgical variability and yield losses
Glass
Stabilise furnace thermal conditions to improve product homogeneity, energy efficiency and equipment lifetime
Construction & materials
Optimise energy-intensive processes by strengthening operational robustness and control of production conditions