Stabilise, optimise and continuously improve

An industrial process never operates exactly the same way. Raw material variability, operating conditions, environment, settings…

Even when controlled, this variability directly impacts yield, quality and overall performance.

Indao enables you to understand the real behaviour of your processes in depth, identify the physical drivers of performance and act to stabilise and sustainably optimise production.

Request a demo See concrete examples

Why act now

Increasing raw material variability

Fluctuating quality, unstable composition, unpredictable behaviour

Stricter quality requirements

Tighter tolerances, continuous compliance, enhanced traceability

Pressure on yield and costs

Less waste, fewer rejects, more consistent production

Growing process complexity

More parameters, increasingly difficult interactions to manage

These challenges are structural.

he real question is now: how can you understand what truly drives process performance?

Why your current tools are reaching their limits

Supervisory systems monitor parameters.
They do not always explain how they interact.

Supervisory systems mainly analyse parameters individually, making it difficult to understand complex interactions between equipment, materials and operating conditions
Variations in material quality or process setpoints strongly influence results, but are rarely correlated in a structured way to achieved performance
Gradual shifts - fouling, thermal efficiency losses or process imbalance - often go unnoticed until they impact production or energy consumption
Without clear causal analysis, adjustments rely on empirical testing, consuming time and sometimes creating unintended side effects
Deep process understanding often relies on a few key experts, making knowledge transfer difficult and operational continuity fragile

The Indao approach

Indao models the real behaviour of your process based on data.

Understand the mechanisms.
Stabilise performance.
Optimise sustainably.

What Indao does in practice

  • Analysis of relationships between process parameters and actual performance

  • Identification of dominant variability factors
  • Construction of optimal operating references
  • Detection of slow drifts and loss of stability
  • Identification of robust operating zones
  • Recommendations on settings and operating conditions

STEP 1

Collect

Process variables, product quality, raw materials, operating conditions

Indao consolidates data describing the real behaviour of the process: control parameters, material characteristics, quality outcomes and operating conditions.

STEP 2

Understand

Causal relationships and physical performance drivers

Interactions between variables are analysed to identify what truly influences yield, quality and process stability.

STEP 3

Stabilise

Robust operating references

Indao identifies optimal operating ranges and conditions that minimise variability and drift.

STEP 4

Optimise

Settings, operating conditions and control trade-offs

Concrete recommendations help improve yield, reduce losses and maintain consistent quality.

STEP 5

Sustain

Capitalisation of optimal conditions

Knowledge generated from analysis is embedded into operational practices to ensure long-term performance stability.

Measurable, sustainable benefits

Indao does not replace process control.
It reveals the real laws governing it.

Identification of truly optimal operating conditions stabilises settings and reduces losses linked to hidden process variability
Early detection of deviations and risky parameter combinations allows teams to correct issues before impacting product quality
By highlighting interactions between process variables, Indao helps maintain sensitive parameters within optimal operating ranges
Operational decisions are based on objective cause-and-effect understanding, reducing iterative testing and guesswork
Multi-parameter analysis reveals real relationships between materials, energy and operating conditions, improving interpretation of complex behaviours
By integrating variations in input quality or composition, teams can adjust settings more quickly to maintain performance and quality

Want to make decisions differently?

Let’s explore how your data can become a concrete operational lever.

Request a demo

Where we create the most impact

One platform,
industry-specific answers

  • cogeneration
  • HVAC
  • wind energy
  • green hydrogen
  • boilers

Energy

Optimise the production and use of your energy systems to improve reliability and efficiency.

  • acids
  • chemical products
  • PVC
  • industrial gases
  • fertilisers
  • plastics
  • petrochemicals

Chemicals

Improve the reliability and energy performance of your chemical processes while strengthening safety and compliance.

  • wastewater treatment
  • recycling
  • water distribution
  • waste management

Water & Waste

Optimise the management of your networks and treatment facilities, improving reliability, energy efficiency and environmental impact.

  • cement
  • steel
  • non-ferrous metals
  • mining
  • construction materials
  • glass

Minerals & Metals

Stabilise your processes and optimise energy consumption across steelmaking, cement, glass and mining operations.

  • breweries
  • dairy products
  • soft drinks

Food & Beverages

Optimise your brewing, distillation, dairy and beverage processes to reduce losses and resource consumption.

  • cnc
  • laser

Machine-tools

Ensure the availability and precision of your CNC and laser systems by anticipating deviations and unplanned downtime.

  • recycled pulp
  • paper machines
  • packaging
  • tissue paper

Pulp & Paper

Optimise yield, availability and energy performance across your pulp, paper and packaging operations.

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.