iNDEQS software for AI-powered process control in industrial manufacturing

Intelligent analysis of quality data and process optimisation

Manufacturing has no shortage of data. What it lacks is context, structure, and actionable intelligence. Business Intelligence tools show dashboards. SPC systems show charts. AI platforms ask for clean historical data that does not exist. iNDEQS is different.

The predictive quality software is a manufacturing-native ecosystem that automatically structures data, applies pre-trained Six Sigma-based AI, and merges process parameters with SPC in real time to create true Advanced Process Control (APC). iNDEQS software is not another analytics platform. This is the missing link between process, quality and artificial intelligence in manufacturing.

What is Advanced Process Control?

Advanced Process Control (APC) is a model-based method for process control that analyses and optimises multiple influencing factors simultaneously. Using process models, real-time data and optimisation algorithms, and with the help of AI, influencing factors are adjusted to ensure that a process is stable. SPC with AI provides earlier warnings, better forecasts and less waste, as statistical process control identifies patterns, makes predictions and recommends specific corrective actions.

As predictive quality software, iNDEQS can predict the quality of products or processes before a problem actually occurs. To do this, the software suite uses historical and real-time process data and analyses it using statistical methods, machine learning and AI.

How iNDEQS Works

Step 1 — smart data collection

Graphic illustrates how iNDEQS intelligently collects and structures data

Built-in converters and adaptive correction create correct structure automatically from any system.

Step 2 — Auto ML with Six Sigma logic

Data are analyzed using iNDEQS.

Live correlation of parameters with quality and test characteristics.

Step 3 — Advanced Process Control

Data are processed.

The Advanced Process Control software offers predictive alerts, virtual metrology, DOE-style simulation without DOE overhead.

How does AI reduce the workload involved in measurement?

Traditional approach:
Measure parts to understand the process.

Our approach:
Understand the process to reduce part measurement.

  • Identify parameters that truly influence quality
  • Measure only when deviation is predicted
  • Maintain micron-level quality with far fewer checks

Built for automotive & global standards

The software is designed for compliance with:

Integrated MSA, uncertainty analysis, and metrology planning are native, not add-ons.

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Real-world impact

Documented outcomes:

  • 50–80% reduction in measurement effort
  • 20–40% scrap and rework reduction
  • Higher Cp/Cpk and yield
  • Faster root cause analysis
  • Fewer audit findings
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Who iNDEQS is for

Ideal for:

  • Tier 1 & Tier 2 automotive suppliers
  • High-mix, low-volume manufacturers
  • Precision machining
  • Assembly and test environments
  • Organisations struggling with data silos between quality and process engineering
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Benefits for your company

Stop measuring more. Start understanding more.

Discover how iNDEQS links your process parameters with SPC to create real Advanced Process Control and dramatically reduce measurement effort while improving quality.

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