Produce more efficiently. Without compromising performance.

Every resource matter - but only if you know where, when and why it is consumed.

Faced with rising costs, CO₂ requirements and process variability, inefficiencies become invisible… yet costly.

Indao helps industrial organisations regain control over their resources by transforming process and utility data into clear, actionable decisions.

Request a demo See concrete examples

Why act now

Energy and CO₂ pricing

Volatility, regulatory pressure, constrained decision-making

Invisible overconsumption

Diffuse losses, gradual drifts, lack of weak signa

Lack of reliable visibility

Fragmented data, non-comparable indicators

Process variability

For the same production, consumption can vary significantly

These constraints are well known.

The real question is now: how can they be turned into operational levers?

Why your current tools are reaching their limits

Traditional monitoring and reporting tools describe consumption but do not explain what truly drives it.

Consumption is observed in raw values, without being adjusted to actual production conditions, preventing reliable comparisons across lines, periods or campaigns
Without dynamic baselines incorporating process context, it becomes difficult to determine whether a variation is normal or an early sign of malfunction
Without clear ranking of inefficiency drivers, teams act where deviations are visible - not necessarily where impact is greatest
Manual consolidation of heterogeneous data leads to late, difficult-to-verify reports that rarely support operational decision-making

The Indao approach

Indao connects processes, equipment and resources to reveal the true levers of efficiency - without degrading industrial performance.

Consume smarter.
Not less at the expense of the process.

What Indao does in practice

  • Intelligent graphs by resource (electricity, steam, water, gas, compressed air)
  • Automatic normalisation by product, line, recipe and conditions
  • Efficiency models (kWh/tonne, steam/kg, water/m³, air/Nm³)
  • Detection of deviations: fouling, incorrect settings, inefficient equipment
  • Identification of losses: leaks, excessive purges, unnecessary releases
  • Operational and efficiency-focused recommendations

STEP 1

Collect

Process data, utilities, meters, SCADA

Indao automatically centralises data from process, utilities and existing industrial systems to provide a reliable and consistent view of operational reality.

STEP 2

Analyse

Drifts, inefficiencies, overconsumption

Data is contextualised to identify deviations, inefficiencies and overconsumption, distinguishing structural issues from normal operational variability.

STEP 3

Normalise

Build comparable baselines

Consumption is recalculated based on real production conditions to establish comparable references, independent of volume, recipe or operational context.

STEP 4

Recommend

Operational adjustments and efficiency-driven trade-offs

Based on these reliable references, Indao provides concrete operational adjustments to reduce losses, improve efficiency and consume more responsibly.

STEP 5

Prove

Energy & CO₂ KPIs, actual gains, automated reporting

Achieved gains are measured, documented and tracked over time through traceable energy and CO₂ indicators, directly usable for operations and reporting.

Measurable, sustainable benefits

Indao does not add complexity. It removes it.

Rapid identification of overconsumption and losses enables immediate correction of settings and operational practices
By structurally improving process efficiency and utility usage, gains are maintained over time while reducing carbon footprint
Better understanding of interactions between operating conditions and resource consumption reduces variability and improves production consistency
Early detection of malfunctions prevents excessive stress and delayed corrections that accelerate equipment ageing
Energy and environmental indicators are automatically calculated, historised and documented, with full traceability for audits
Teams benefit from clear, contextualised and actionable indicators, enabling independent decision-making without relying on external analyses

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.