From Quality Control to Quality Prediction

Predictive quality predicts the quality outcome from process data before a defective part is produced. Visual inspection checks the finished part. Quality prediction starts earlier. Models learn from process parameters, sensor data, and historical quality data to recognize which conditions lead to scrap. These predictive quality analytics run continuously and show where process quality is heading. Operators can adjust the process before defects occur. Both approaches complement each other. Prediction lowers the defect rate in the process, and inspection ensures the result at the end of the line. We implement quality prediction as custom-developed software, integrated into your existing systems.

See Predictive Quality in Action
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"AI constructing the perfect machine" AI-generated artwork inspired by the style of Gustav Klimt
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Data-driven predictions saving time and money

Using AI and machine learning, we identify quality issues before they occur. This prevents rework, reduces costs, and keeps production running.

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Operational efficiency

Our solutions reduce manual effort, material waste, and energy consumption. Quality problems are caught in the process instead of at the end of the line.

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Increasing your process and product quality

The models keep learning from new production data. Performance improves over time and quality standards stay consistent. The result is a clear competitive advantage.

Predictive Quality in numbers

Predictive Quality employs advanced analytics to proactively address and prevent quality issues. With concrete results from our customers, our solutions analyze historical and real-time data to significantly cut rework costs, minimize machine downtime, and reduce warranty claims, all while boosting product reliability and operational efficiency.

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Experience from Industrial Projects

Every production line is different. At the start of a project, we link your process conditions with your quality outcomes and identify where prediction delivers the most value. Our team has built quality prediction for materials testing, process optimization, and yield prediction across different industries. That experience shows in the results our customers achieve over the long term.

Talk to an expert
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Consultancy

We assess where quality prediction pays off in your production and what your data already supports.

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Co-Development

Your process knowledge, our AI expertise. We develop the solution together with your team.

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Tailored & Full Service

Custom-developed software, integrated into your existing systems and supported in ongoing operation.

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Effortlessly detect anomalies in real-time

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navio VISION is an AI-powered visual inspection software that detects defects and anomalies in real-time, helping you catch issues before they escalate. Automate quality control to enhance efficiency, minimize waste, and transform your production line effortlessly.

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INDUSTRIES

The interplay between AI and the Industry

We’re successfully optimizing work processes, reducing friction and improving sustainability for customers in different industries.

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Successful growth is a decision. Driven by data.

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Frequently Asked Questions About Predictive Quality

What is predictive quality?

Predictive quality uses AI to predict quality outcomes from process data before a part is finished. Instead of finding defects afterward, it shows which process conditions lead to scrap so your team can intervene early.

What is the difference between predictive quality and visual inspection?
What is the difference between predictive quality and predictive maintenance?
What data is needed for predictive quality?
Does the software run in the cloud or on our infrastructure?