Stabilise processes without compromising production throughput
Construction materials manufacturing relies on continuous, energy-intensive processes where raw material preparation, thermal or mechanical transformation and drying directly impact product quality and industrial yield.
Even minor deviations can lead to defects, material losses, energy overconsumption or production instability.
Indao transforms data from raw material preparation units, kilns, dryers, presses, forming lines and utilities into reliable indicators and actionable operational recommendations.
Why construction & materials processes are different
Processes where raw material variability, thermal transformation and mechanical constraints must remain perfectly balanced.
Naturally variable raw materials
Strong coupling between thermal and mechanical processes
High-inertia continuous production
The challenges you face
- Product quality stability: ensure mechanical strength, dimensions and compliance despite raw material variability
- Energy performance: reduce the energy intensity of dryers, kilns and presses
- Equipment availability: anticipate clogging, wear and thermal drifts
- Material yield: minimise losses during production transitions and process instability
- Environmental performance: control dust emissions, CO₂ and fuel consumption
The limits of your current tools
- Operations often rely on conservative settings to absorb raw material variability
- Difficulty correlating raw material characteristics with actual process performance
- Data fragmented across production, laboratory and energy systems
- Quality analyses available only after product transformation
- Limited tools to anticipate gradual drifts affecting energy efficiency
What Indao delivers in practice
We design advanced analytics solutions that genuinely improve construction and materials process performance, with AI as a support : explainable, controlled and field-oriented.
What you gain
Operational results, not just more dashboards
More consistent product quality
Reduced variability linked to raw material fluctuations
Improved energy performance
Optimised drying and firing
→ lower energy consumption
Increased equipment availability
Anticipation of clogging and thermal drifts
Improved material yield
Reduced losses due to production instability
More robust operational decisions
Clear understanding of interactions between material, 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 processes
Cement
Optimise thermal process control (kiln, preheating, grinding) by stabilising operating conditions and reducing specific energy intensity per tonne produced
Steel
Improve metallurgical process stability by controlling process deviations and optimising energy efficiency of critical units
Mining
Control processing and beneficiation plants more precisely to maximise operational availability and overall energy performance
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