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Project · circular economy

KISS-Projekt

AI-supported circular economy for plastics

Since July 2024, R.A.M. has been a partner in the innovation project KISS. Together with RIGK, plastship and Veridis Technologies, we are bringing artificial intelligence into plastics recycling — for more efficient, more sustainable material cycles.

KIRecyclingsince July 2024Ressourcenwende Hessen
KISS project: AI-assisted analysis of plastic recyclates – with the partners RIGK, plastship, R.A.M. and Veridis
[ 01 ]Overview

What it is about

KISS stands for “AI-based qualification, control and optimisation of material flows to close regional resource cycles”. The goal is to use an AI-supported platform to analyse and classify used plastics from industry, commerce and agriculture and route them to the best recycling paths — increasing material quality and reducing the CO₂ footprint along the value chain.

[ 02 ]Our role

What R.A.M. contributes

Precise material analysis

We examine contamination such as specks and inclusions in the plastics in detail.

Process optimisation

Taking relevant production parameters into account, we minimise scrap and increase the efficiency of recycling processes.

Data-driven innovation

Our measurement data feeds into a central database that serves as the basis for the AI’s precise classification.

Over the three-year project, around 500 materials are being tested. One early finding: the same material showed considerably more large defects when cooled to 8 °C than at room temperature (23 °C). Temperature – and indirectly humidity – has a strong impact on processing; this is just one of many correlations between material, ambient and machine parameters that KISS aims to reveal.
[ 03 ]Project partners

Four partners, one mission

Initiator & project lead

RIGK GmbH

Carries out comprehensive laboratory testing and quality assessment of the recyclates.

R.A.M. GmbH

Material analysis & processes

Analyses contamination such as specks and inclusions and optimises recycling processes via production parameters.

AI platform & database

plastship GmbH

Develops the AI platform and the central database that classifies material qualities and identifies recovery routes.

Material data

Veridis Technologies

Provides precise data on material composition and supports the AI-based classification.

[ 04 ]Funding

Funded & future-oriented

The three-year project is funded by the Hessian Ministry for Economic Affairs, Energy, Transport and Housing as part of the “Ressourcenwende Hessen” initiative and supported by Technologieland Hessen.

„Keep It Short & Simple“ For us at R.A.M., KISS also stands for simple, efficient routes to a better circular economy — for intelligent, AI-driven plastics recycling “Made in Germany”.
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Interested in the KISS project?

Would you like to learn more about our work in the KISS project or a collaboration? Get in touch.