This is precisely the challenge that UCY Technologies GmbH set out to address.
Unlike many technology companies, UCY’s story did not begin in a laboratory or software start-up environment. The idea was born directly from real-world recycling operations. The founders and team behind UCY have extensive experience within the recycling industry and have operated recycling facilities themselves. Through years of hands-on experience, they recognized that while traditional sorting technologies have advanced significantly, there remained enormous potential to improve flexibility, adaptability, and sorting performance through intelligent data-driven systems.
This insight became the foundation for a new generation of sorting technology.
Today, UCY develops advanced AI-powered sorting solutions specifically designed for the challenges of modern recycling plants. At the heart of the company’s technology is a proprietary artificial intelligence model developed in-house and tailored specifically for material recognition and classification.
Rather than relying on a single sensor technology, the UCY platform combines data from multiple sensor sources, including RGB cameras, hyperspectral imaging systems, and inductive sensors. By intelligently connecting and interpreting these different data streams, the system generates a far more detailed understanding of materials moving through the sorting process.
The result is a higher level of material identification accuracy and a more precise classification of recyclable resources.
One of the key differentiators of UCY’s technology is its adaptive approach to artificial intelligence. Instead of using a static model trained on generic datasets, the company’s AI is trained using the specific material streams of each customer. Every recycling plant processes different input materials, contamination levels, and product specifications. UCY’s machine learning models continuously adapt to these unique conditions, allowing operators to achieve improved sorting performance tailored to their individual processes.
This customer-specific training approach enables facilities to enhance sorting purity, increase material recovery rates, and improve the overall economic performance of their operations.
To meet the diverse needs of the recycling industry, UCY offers solutions for sorting widths ranging from 1 meter to 2.8 meters. This flexibility allows the technology to be deployed across a wide range of applications, from specialized recycling operations to large-scale industrial processing facilities.
The practical value of the technology is already being demonstrated in the field. More than 30 systems have been installed, providing valuable operational data that continuously contributes to further development and improvement of the AI models.
Another important factor behind UCY’s development is its close connection to the STF Group. Founded with the involvement of the son of STF’s founder, UCY has been able to leverage the engineering expertise, industrial resources, and extensive industry network of the STF Group from the very beginning. This combination of entrepreneurial innovation and established industrial experience enables the company to move rapidly from concept development to successful implementation in real-world operations.
For UCY, the goal is not simply to develop another sorting machine. The company’s vision is to make artificial intelligence a core component of future recycling facilities. Through the intelligent fusion of multiple sensor technologies, customer-specific machine learning, and continuous software development, UCY aims to help recyclers unlock higher efficiencies, improve resource recovery, and meet the growing demands of a circular economy.
As recycling continues its digital transformation, UCY Technologies believes that data-driven sorting and artificial intelligence will play an increasingly important role in maximizing resource value and shaping the next generation of recycling operations.
For more information, visit:
https://ucy.tech/en/
