Anticipate deviations. Secure production.

Industrial assets are ageing, operating conditions are evolving and production constraints are increasing.

Failures never occur suddenly: they usually start with weak signals that are difficult to detect.

Indao helps industrial organisations identify these early signals, understand their causes and act before they impact production.

Request a demo See concrete examples

Why act now

Maximum pressure on availability

Produce longer with fewer interruptions

Ageing equipment

Maintenance under budget constraints and limited resources

Increasing system complexity

Multiple interactions between processes, equipment and operating conditions

Difficulty in truly anticipating failures

Signals exist but remain buried in the data

These challenges have become part of daily operations.

The real question is now: how can failures be anticipated before they impact production?

Why traditional maintenance tools reach their limits

Maintenance tools record failures.
They rarely explain how they develop.

Alarm systems typically trigger once thresholds are already exceeded, leaving little time to act before production is impacted
Traditional tools document past incidents but offer limited visibility into early warning signals
Maintenance events are rarely analysed alongside real operating conditions, limiting understanding of root causes
Without objective assessment of risk and impact, teams must choose between perceived urgency and truly critical actions
Anomaly detection often relies on intuition or the experience of a few technicians, making practices difficult to standardise and transfer

The Indao approach

Indao connects process data, equipment behaviour and operational history to detect deviations before they become failures.

Improve reliability without over-maintaining.
Act at the right time, for the right reasons.

What Indao does in practice

  • Continuous analysis of equipment behaviour
  • Detection of weak signals and abnormal trends
  • Identification of conditions leading to premature wear
  • Correlation between process parameters and maintenance incidents
  • Prioritisation of critical assets
  • Targeted preventive action recommendations

STEP 1

Collect

Equipment data, process data, maintenance history, alarms

Indao centralises data from industrial and maintenance systems to provide a complete view of real asset behaviour.

STEP 2

Detect

Weak signals and behavioural deviations

Algorithms identify gradual changes that signal future drift or failure.

STEP 3

Understand

Operational causes and degradation conditions

Analyses highlight process conditions or usage patterns contributing to wear or incidents.

STEP 4

Prioritise

Maintenance actions and operational trade-offs

Teams can focus on truly relevant interventions and avoid unnecessary or late actions.

STEP 5

Improve reliability

Continuous availability improvement

Each intervention and feedback loop enhances overall understanding of assets and strengthens their reliability.

Measurable benefits

Indao does not replace maintenance.
It makes it smarter and more effective.

Early detection of abnormal behaviour enables intervention before failure impacts production
Continuous analysis reveals gradual changes linked to fouling, wear or misalignment, often invisible in standard indicators
By identifying equipment that truly impacts overall performance, teams can secure production continuity
Interventions are based on objective, contextualised data, focusing efforts where operational risk and economic impact are highest
Early correction of deviations prevents excessive stress and operation outside optimal ranges
By shifting from corrective or routine maintenance to condition-based strategies, teams reduce unplanned interventions and low-value tasks

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.