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Projects and references

When technology makes an impact – right here

Our projects demonstrate what is possible when AI is applied precisely where it is needed: in the process, in operations, and in reality.

Behind the scenes – genuine impressions

Where our solutions run – and not just in demo mode

If you want to know how AI really works, you have to look at where it is being used – on the production line, on the camera, in the eyes of employees. We don't just show interfaces or animated dashboards. We show how our technology is integrated, understood, and used. In real projects, with real partners – and real impact.

Where our solutions work

One process. Ten solutions. Countless applications.

AI is not an off-the-shelf product. It reveals its value precisely where processes are complex, tasks are repetitive, and people need support. Sometimes it recognizes an organ. Sometimes it reads a number. Sometimes it decides what goes where. What all FOODFAIR modules have in common is that they intervene at exactly the point where errors become follow-up costs – and precision becomes profit. Whether on a single line or across multiple locations, our systems can be scaled, combined, and integrated with pinpoint accuracy.
Classification

Beef carcass classification, product recognition

Animal welfare documentation
Tail and ear recognition, organ assessment
Traceability

RFID, slaughter number recognition

Quality assurance

Photo documentation, organ findings

Employee relief

Product recognition, gender recognition

process digitization

ClassifaiBox + combined AI modules

Our solutions are designed not to intrude on processes, but to blend seamlessly into them. Right where they make the biggest difference.

Our success stories

Projects with impact. Partners with high standards

What our solutions achieve in everyday life cannot be summarized in bullet points. You have to see them in motion, in real lines, with real people. Our success stories tell you all about it—about companies that are boldly rethinking processes, about the courage to not just test AI, but to use it. And about the end result: less effort, more security, and real relief. Here is one of these projects. More will follow shortly.

AI solution in cutting operations

Product recognition in live operation

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AI solution in cattle slaughterhouse

Beef carcass classification in live operations

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AI solution in pig slaughterhouse

Gender- and slaughter number recognition in live operation

Learn more

Ready to take the first step?

Whether you have a specific project, an idea in mind, or simply want to ask, “Can we do this?” We listen, think along with you, and contribute our technical and professional expertise. Because every good project begins with a conversation. Perhaps that is precisely what makes the difference today.

Discuss project idea
We look forward to talking with everyone who wants more than just digitalization. Namely, responsibility that makes a difference.
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Module in use:

Product recognition

When a cutting plant was looking for a solution to replace manual product identification on its sorting lines, the situation was clear: high cycle rates, many similar items, constantly changing personnel. Errors were inevitable – and with them unnecessary additional work in batch formation.
Together with FOODFAIR, a solution was developed that addresses precisely this issue—directly on the line, in everyday use, in real-world operation.
Three sorting lines have been equipped with AI-based product recognition. The camera recognizes the items, compares them in real time with a trained set of product patterns, and sends the result to the sorting system. No manual input, no visual decisions under time pressure.
Today, the company processes over 5,000 crates per day – automatically sorted, securely documented, and reliably traceable. Employees no longer need training in product recognition. New staff can start right away and focus on what really matters: keeping the process flowing.
  • 3 lines automated
  • 5,000 boxes sorted every day
  • Significantly reduced manual error rate
  • No more training required for sorting
  • Real-time detection + direct interface connection

Special feature of the project:

What makes this project special is the seamless integration of AI technology directly into the production process. The solution was implemented quickly and easily without disrupting operations or existing workflows. The automated product scan reduces human error and relieves staff of the task of classifying over 5,000 boxes per day. With real-time detection and a direct interface connection to the sorting system, efficiency is significantly increased without the need for extensive training. Another key advantage was that new employees were able to start sorting without delay.

Module in use:

Beef carcass classification

A cattle slaughterhouse was facing a challenge that many businesses are familiar with: classifiers work under high pressure—long days, fast pace, constant decision-making. The commercial classification must be reliable from the first animal to the last. At the same time, there is often a lack of data-backed support in the event of complaints—and the shortage of skilled workers makes it even more difficult to secure the process in the long term.
Together with FOODFAIR, a pilot AI assistance system has been developed that addresses precisely this issue – objectively, image-based, and seamlessly integrated.
In a pilot project, the classification was supplemented by an image-based AI solution. While the classifier performs the classification as usual, the system analyzes the carcass in parallel, saves an image, and, in the event of a discrepancy between the AI and the classifier, indicates that a reclassification may be necessary. The system is supported by automatic photo documentation for complete traceability and targeted documentation in the event of complaints.
The implementation went smoothly: the solution was integrated into the existing process within a few working days—without interrupting slaughtering operations.
Today, the company benefits from greater safety, fewer disputes, and greater transparency thanks to the photo documentation. Complaints can be clarified in a traceable manner, and the pilot project AI assistance system could also make the job more attractive thanks to modern assistance technology.
  • AI assistance system for cattle classification
  • Objectivity + notification function in case of deviation
  • Traceability through photo documentation
  • Full integration without interruption to operations
  • Classifier is strengthened, complaints become traceable

Special feature of the project:

The unique feature of this project is the flexible adaptation of the AI solution to existing operations. The AI assistance system for classification is seamlessly integrated into the existing infrastructure without interrupting slaughterhouse operations. Photo documentation ensures that all classification data is not only stored in real time but can also be used for certification and audits. The AI's second opinion further strengthens the classifiers and provides clear evidence of compliance with quality standards. The project demonstrates how the combination of AI technology and practical implementation leads to greater transparency and improved process reliability.

Module in use:

Gender- and slaughter number recognition

A pig slaughterhouse was faced with the challenge of automating manual sex determination and recording slaughter numbers for 500-600 pigs per hour. The previous process, in which the gender and boar risk were determined manually by staff, was not only time-consuming but also prone to errors. In addition, there was no objective determination of the boar risk, which was particularly problematic in chemically castrated pigs. In the event of incorrect vaccination or ineffective castration, no reliable feedback could be provided to the farmers.
Together with FOODFAIR, an AI-supported solution was developed and installed directly in front of the input terminal in front of the scratching machine. The system analyzes the gender of each pig in real time and determines the boar risk by comparing images of the animals with the recorded data and providing automatic feedback. The boar risk is determined for each male pig and transparent documentation is created.
The introduction of the system has reduced the error rate in gender determination to less than 1 per 1,000 pigs – previously, 15-20% of data was incorrect. The boar risk is now also accurately determined and documented, enabling the farm to remove pigs with a high boar risk for further inspection.
  • Gender determination: Less than 1 error per 1,000 pigs
  • Boar risk: Precise determination and documented feedback to farmers
  • Reduced workload: Employees can focus more on exceptional cases and further improve production quality.
  • Further development: The company plans to expand the system to automatically record the sender's license plate number.

Special feature of the project:

The project demonstrates how different AI modules can be combined to create automated solutions for slaughterhouses. It offers a modular solution that can operate in different modes as required – from supporting employee training to fully automated detection and documentation. The solution can be transferred to all businesses and is an example of how efficient and error-free processes can be successfully implemented in a high-pressure environment.