At R.A.M., we are proud to be part of the KISS project, an initiative using artificial intelligence (AI) to improve plastics recycling. Since its launch in July 2024, the project has been demonstrating how AI can make recycling smarter, more efficient and more sustainable.
A centralised plastics database
plastship is developing a central database that helps the AI classify plastics. With structured data, recycling processes become more precise, improving both efficiency and the quality of recycled materials.
AI-powered waste optimisation
Through the plastship platform, companies can log their waste streams and receive AI-driven recommendations for better recycling strategies. This makes recycling more effective and reduces material loss.
“Only structured and meaningful data can take the circular economy to the next level.” – Andreas Bastian, CEO of plastship
R.A.M.'s role in the project
As a partner in KISS, R.A.M. focuses on analysing material impurities and optimising production processes. Our expertise ensures that recycling meets the highest industry standards.
Other partners in the project:
– RIGK GmbH: laboratory tests to evaluate recycled material quality
– Veridis: precise material data to enhance AI classification
Progress and outlook
– Material testing: early test phases have improved plastics classification and recycling processes.
– Environmental impact: AI and digital tools are optimising resource use and reducing CO₂ emissions.
– Long-term development: with support from the Hessian Ministry for Economic Affairs, the project will continue to evolve over the next three years, serving as a model for other industries.