Customer Success Stories

AR-Based Visual Inspection in Automotive Quality Control with SuPAR | Audi Case

Audi is enhancing automotive quality control with SuPAR by bringing CAD data directly into the real production environment for faster, clearer, and more consistent visual inspections. SuPAR supports real-time comparison between digital data and physical parts, helping teams improve inspection accuracy, standardize quality workflows, and continuously optimize visual inspection processes through direct collaboration with the SuPAR developers.

How Magna Revolutionized Large Assembly Inspections with SuPAR AR?

Global automotive leader Magna has set a new standard in manufacturing excellence by integrating SuPAR Augmented Reality (AR) into its quality control workflows.

High-Speed Inspection for Complex Assemblies

Inspecting large-scale assembly parts featuring over 300 joining elements is a complex challenge that typically requires significant time and precision. By implementing the SuPAR AR system, Magna has transformed this process. Complex inspection projects that used to be a bottleneck are now prepared and ready for execution in less than 10 minutes.

Through this technological integration, Magna has optimized the inspection of large assembly parts, achieving a level of speed and efficiency that defines the future of automotive quality assurance.

Real-Time Quality Control in Structural Steel Manufacturing with SuPAR | Zeman Group Case

Zeman Group, a leading company in structural steel manufacturing, is transforming its quality control processes with SuPAR by enabling early error detection during production instead of at final assembly, reducing rework and associated costs, shortening lead times, standardizing quality processes, and applying SuPAR in areas such as real-time inspection within production workflows, assembly verification, and process-integrated quality control.

How TEMSA Achieved 60% Productivity Increase in Quality Control with SuPAR,

TEMSA, a leading player in the commercial vehicle industry, has taken a significant step forward in quality control processes with SuPAR by preventing missing details during inspections, reducing dimensional errors, increasing productivity by 60%, improving efficiency in jig and fixture setup, and enabling faster and more reliable measurement processes.

IAB Transforms Quality Control with SuPAR: From Paper-Based to Real-Time Digital Inspection

IAB, an Austrian engineering company specializing in high-end steel machinery, structural steel, and welded constructions, has transformed its quality control processes with SuPAR by shifting from paper-based inspections to tablet-based, real-time validation, enabling guided inspections, instant error detection, improved data transparency, and increased efficiency on the shop floor.

Anadolu Isuzu Achieves End-to-End Quality Control Efficiency with SuPAR

Anadolu Isuzu, a leading commercial vehicle manufacturer, has achieved high efficiency across all stages of its quality control processes with SuPAR by enabling efficient input quality control, ensuring accuracy during assembly processes, standardizing process quality control, improving inspection in internal trim operations, optimizing PDI (Pre-Delivery Inspection) processes, and maintaining high quality in final assembly.

Jebens GmbH Transforms Quality Assurance with SuPAR AR Visual Inspection

Jebens GmbH, a leading manufacturer of precision flame-cut parts and welded steel components, enhances its quality assurance processes with SuPAR’s AR-powered visual inspection solution. By transitioning from manual, drawing-based inspections to digital validation, Jebens enables faster error detection, ensures assembly completeness and positional accuracy, and reduces customer complaints. SuPAR supports a wide range of quality control applications, including completeness checks, detection of missing or incorrectly placed components, and CAD-based visual inspections—ultimately improving efficiency and customer satisfaction in manufacturing operations.

Automotive Quality Control & Visual Inspection with SuPAR | GİSAN Case

GİSAN, a leading automotive body manufacturing supplier, has taken a significant step forward in quality control with SuPAR by enabling verification of assembly completeness, positional and geometrical accuracy of panels, identification of faulty components during assembly, delivery of correct and validated products, and providing digital proof for quality assurance and dispute resolution.

ZASLAW Optimizes Quality Control and Reduces Inspection Time with SuPAR

ZASLAW, one of Poland’s leading vehicle and commercial body manufacturers, enhances its quality control processes with SuPAR’s AR-powered visual inspection solution. By leveraging augmented reality technology, ZASLAW significantly reduces inspection and product delivery times while minimizing potential customer complaints. SuPAR supports critical quality control applications such as trailer chassis inspection, presence and absence detection, and bracket position verification—ensuring faster, more accurate, and reliable inspection workflows in manufacturing.

YILGENCİ Improves Quality Control Efficiency with SuPAR AR Inspection

YILGENCİ, an industrial manufacturing company, enhances its quality control processes with SuPAR’s AR-powered visual inspection solution. By leveraging augmented reality technology, YILGENCİ significantly reduces inspection and measurement times, detects missing and defective components during product control, and performs critical dimensional checks directly against technical drawings. Compared to manual inspection methods, SuPAR improves efficiency and accuracy while supporting faster and more reliable quality decisions through digital reporting.

JihoTech Improves Assembly Accuracy and Quality Control with SuPAR AR Inspection

JihoTech, a leading engineering company in Czechia specializing in sheet metal processing and custom steel components, enhances operational excellence with SuPAR’s AR-powered visual inspection. By leveraging augmented reality technology, JihoTech ensures assembly completeness, verifies the positional and geometrical accuracy of welded components, and detects deviations such as incorrect hole positioning, size, and shape—enabling faster, more precise, and reliable quality control processes.