Stabilise flows without slowing operations
Recycling relies on sorting and recovery chains where variability of incoming flows, equipment performance and energy balance directly impact material yield and plant availability.
Even small deviations can lead to reduced capture rates, equipment saturation, energy overconsumption or unplanned downtime.
Indao transforms data from sorting lines, conveyors, separation systems and utilities into reliable operational indicators and concrete recommendations.
Why recycling processes are different
Continuous processes where material variability requires constant adaptation of operating conditions.
Heterogeneous incoming flows
Strong dependence on equipment performance
Balance between material yield and energy
The challenges you face
- Sorting performance stability: maintain high capture rates despite variability in incoming flows
- Equipment availability: reduce downtime caused by blockages, wear or mechanical drift
- Quality of recovered fractions: reduce cross-contamination and improve material purity
- Energy & utilities: control consumption of sorting lines and separation equipment
- Operational control: quickly adjust parameters to changing loads
The limits of your current tools
- Data often fragmented across line supervision, maintenance and energy systems
- Difficulty linking sorting performance with real operating conditions
- Performance analyses often carried out after losses occur
- Limited visibility on root causes of capture losses
- Control often reactive rather than predictive
What Indao delivers in practice
We design advanced analytics solutions that genuinely improve recycling process performance, with AI as a support : explainable, controlled and field-oriented.
What you gain
Operational results, not just more dashboards
Improved sorting performance
Early detection of deviations
→ increased capture rates
Increased equipment availability
Identification of conditions leading to downtime
→ reduced interruptions
Enhanced material quality
Better control of parameters influencing purity of recovered fractions
Optimised energy performance
More precise equipment control
→ reduced consumption
Faster operational decisions
Clear understanding of interactions between flows, equipment and results
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 water & waste sector
Concrete levers at the core of processes
Water distribution
Optimise networks and hydraulic control to reduce energy losses and improve operational stability
Wastewater treatment
Stabilise biological and energy-intensive processes to improve treatment performance while reducing energy consumption
Waste management
Optimise facility operations to reduce unplanned downtime and improve overall energy efficiency