Improve operational reliability. Optimise resource usage.

Complex networks, variable loads and strong environmental constraints require precise control of water and waste treatment facilities.

Indao transforms your operational data - distribution, treatment, recycling and recovery - into reliable operational reference points to improve energy performance, installation stability and environmental compliance, without adding operational complexity.

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Indao turns this operational complexity into measurable decisions.

Measurable results

More effective operational decisions, based on your field data

Global view of installations

Correlation between processes, energy consumption and operational performance

Reduced overconsumption

Optimisation of equipment and limitation of unnecessary operations

Anticipation of operational deviations

Early detection of anomalies before impacting compliance or availability

Why doing nothing has become a risk

Operational and environmental requirements are increasing

Stronger regulatory constraints

Higher expectations for compliance, environmental performance and traceability

Rising energy costs

Facilities highly dependent on pumping, aeration and utilities

Variability of loads and flows

Fluctuating operating conditions making fixed settings ineffective

Pressure on asset availability

Need for continuous operations and reduced unplanned interventions

Where Indao creates value in water & waste management

Analytical levers tailored to each segment

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

Recycling

Correlate process data and equipment performance to improve availability and efficiency of sorting and recovery units

Waste management

Optimise facility operations to reduce unplanned downtime and improve overall energy efficiency

An operations-driven analytical approach

Indao strengthens teams’ ability to manage their installations more precisely on a daily basis.

Cross-analysis of operational data to understand real interactions
Identification of early signals indicating overconsumption or performance loss
Transparent analyses supporting adoption by operational teams
Insights translated into concrete, applicable operational actions

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
  • Energy

CoCEPTIO

Structuring and leveraging HVAC data to improve energy efficiency
  • 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.

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Indao is not just a monitoring tool: it is an advanced analytics platform that transforms industrial data into concrete, actionable recommendations. Where SCADA or ERP systems collect and display data, Indao helps your teams gain clarity, take the right actions and optimise operations sustainably.

Deployment is fast and progressive. On average, 4 to 6 weeks are enough to connect your first data sources, build the models and launch the first dashboards.

The platform is modular: you can start with a targeted pilot on a critical asset, then progressively extend it to other lines, sites or countries.

Indao is designed for the entire manufacturing industry and industrial infrastructure.

The platform adapts to a wide range of sectors, processes and equipment, wherever industrial data is available.

ROI is assessed based on concrete indicators: operational performance, asset availability, energy consumption and product quality.

Indao structures the business case from the outset and enables tracking of actual gains over time.