News & Updates
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IUNA AI at SCHWEISSEN & SCHNEIDEN 2025 in Essen
This year's SCHWEISSEN & SCHNEIDEN trade fair in Essen was truly special for IUNA AI. We had the opportunity to showcase the future of weld seam inspection live, and the response was overwhelming. Not only companies from the automotive sector stopped by, but also many other industries eager to explore how AI-powered inspection can enhance their quality processes.
Highlights from the Fair
Live Demo of Our Weld Seam Scanner: Visitors experienced real-time AI weld inspection firsthand, seeing how our technology moves beyond manual checks toward faster, more consistent quality control. The interactive demonstrations allowed attendees to see the system detect and classify weld defects in real-time, showcasing the practical benefits of AI-powered inspection.
AI Innovation in Practice: We demonstrated how computer vision and deep learning can be transformed into robust, practical tools for production environments. Our system's ability to detect defects according to international standards like ISO 5817, ISO 10042, and ISO 6520-1 impressed many visitors who are looking for reliable, automated quality assurance solutions.
Inspiring Conversations: The discussions with partners, customers, and new contacts were incredibly valuable. We connected with companies from various industries including automotive, manufacturing, metal fabrication, and construction, all interested in leveraging AI for quality control. These conversations have already led to several follow-up meetings and potential partnerships.
Partnership with AWL
We would like to extend a big thank you to everyone who visited us at our joint booth with AWL. The collaboration between IUNA AI's intelligent software solutions and AWL's expertise in smart robotic automation creates a powerful combination for the future of industrial quality control.
The journey of bringing deep learning-based weld inspection to production lines has just begun, and we're excited for what's next. The positive feedback and interest from the fair confirm that the industry is ready for AI-powered quality assurance, and we're proud to be at the forefront of this transformation.
IUNA AI featured in inVISION Magazine
We are pleased to announce that our company IUNA AI has been mentioned in the trade magazine inVISION News in the article "Weld Seam Inspection". The article presents our Weld Seam Vision System, which was specially developed for the automated inspection of MIG/MAG weld seams - for both manual and robot-assisted welding processes.
Our system provides comprehensive quality assurance by detecting weld seam defects in real-time, ensuring compliance with international standards including ISO 5817, ISO 10042, and ISO 6520-1. This recognition in a leading industry publication underscores our commitment to innovation in industrial quality control.
Valve cap recognition: IUNA supports wheel and tire assembly for OEMs
For our customers, checking the correct wheel/tyre combinations before delivery to the vehicle manufacturer is a major challenge. Due to the increasing diversification and individualization of tires, rims and valve caps, the requirements for precision and accuracy in tire assembly have risen sharply in recent years.
Thanks to the IUNA AI scanner, it is now possible to automate this inspection process. The IUNA AI scanner compares the color and shape of the valve cap and the valve on the image and compares this information with the target value from the database. This use of industrial computer vision and AI technology avoids errors and returns even before delivery.
Further development of the IUNA Auto Scanner for use in the final assembly (finish)
We are proud to announce the latest development of our IUNA Auto Scanner. The Auto Scanner can now also be used in the finishing process and accurately detects paint defects, dents, dings and other surface defects. This enhancement enables vehicle manufacturers to further improve the quality of their products and increase the efficiency of the final inspection.
The system uses advanced computer vision and AI algorithms to identify even subtle imperfections that might be missed by human inspectors. Our collaboration with Audi has been instrumental in refining this technology for high-end automotive applications.
Press article / IUNA AI x Audi
The current article of the Heilbronner Stimme describes how Audi wants to drive the change in production in the future and also how we at IUNA AI are helping to shape this change. Our goal has always been to bring AI technology as easily and quickly as possible into today's manufacturing. That is exactly what we have already been able to do for Audi. Further projects with Audi are in the planning stage.
IUNA AI as winner of Industry 4.0 Award
IUNA AI is one of the "100 Places for Industry 4.0" in Baden-Würtemberg and was awarded as one of eight lighthouse projects by the Allianz Industrie 4.0. The award was presented online by a video message of the State Secretary Dr. Patrick Rapp.
Funding / Campus Founders Venture Studio x WOLFMAN.ONE
In order to further accelerate product development, we made the decision to close a first funding round at the beginning of 2022. After careful evaluation of all offers, the final decision was made in favor of two local and experienced VC companies from the Heilbronn area: The Campus Founders Venture Studios and the experienced Business Angel Prof. Wolf Nietzer with the VC Corporation Wolfman.One.
Auto Scanner v3 / Car body shop
The third version of our Auto Scanner has been extended by the functionality of "Anomaly Detection". Here, the system not only detects predefined defects, but is also able to check the entire vehicle surface for anomalies. Anomalies are defects for which little to no past image data is available. This means that even rare defects, which would otherwise only be detected by humans, can be detected fully automatically. As a result, full automation of the inspection process has been achieved in Audi's body shop, replacing manual visual inspection.
Release IUNA AI Scanner
Based on the know-how of the Auto Scanner, the IUNA AI Scanner was developed in September 2021. With the AI Scanner we have developed a modular and easy to use AI Vision System, which can be integrated in-line. Combined with the right software application, we are flexible to solve a wide range of tasks in industrial manufacturing.
Auto Scanner v2 / Car body shop
In March, the second version of the IUNA Auto Scanner was finalized. The system checks standard points on the body of the car for surface geometry defects. This includes waviness, indentation points, sheet metal unbalances and other defects that occur primarily in the body shop department. In addition, the data helps the respective specialist department to detect process-related errors or errors caused by suppliers.
Iuna.ai becomes development partner of Audi AG
In September 2020, iuna.ai became an official development partner of VW. The aim of the development cooperation was the further development of the IUNA Auto Scanner v1 in the body shop of the Audi R8 for the fully autonomous identification of surface geometry defects on the body.
The IUNA AI Systems GmbH is founded
In May 2020, IUNA AI Systems GmbH was founded with the aim of revolutionizing automation in industrial manufacturing in the field of visual inspection and quality assurance. The shareholders of the GmbH are Jan Nabatian (Managing Director), Tong Chen (Head of Product Development) and Samira Nabatian (Head of Business Development).
Auto Scanner v1 / Surface defect detection
In March 2020, the first version of the Auto Scanner was completed as part of the research project of the University of Stuttgart's Machine Learning group and Audi. This provided the proof of concept of an AI-based detection of surface damage on vehicles on the assembly line.
Research project / Universität Stuttgart x Audi AG
The idea for an AI-based image data analysis came from a cooperation between the university group for Machine Learning at the University of Stuttgart and Audi AG in Neckarsulm. The goal of the research project was to deliver proof of concept of an AI-based autonomous quality assurance of vehicles on the assembly line. The university group was initiated and led by Jan Nabatian in 2019.