We are looking to join a transnational RAMP consortium under Topic 2 as the digital, AI and data partner, open to complementing any partners active along the primary raw-material value chain. As a partner within a coordinated consortium, AWSi contributes:

• AI recognition & sensor-sorting — computer vision and ML to detect, classify and sort critical raw materials from complex secondary streams (WEEE, batteries, slags, shredder residues), increasing recovery rate and purity
• Process architecture & digital twins — modeling recycling and secondary-processing value-chain workflows, raising yield and lowering energy use, while tracking environmental impact, compliance data and operational bottlenecks in real time
• Material-flow analysis & data analytics — machine learning and analytics on material-flow and supply-chain data to increase transparency across secondary raw-material value chains and support better access to secondary raw materials
• Data ecosystems & interoperable platforms — building scalable data spaces and IT architectures to integrate, harmonize and exchange material-flow, recycling and supply-chain data across secondary raw-material value chains
• Traceability via Digital Product Passport (DPP) — AI-based recognition, structuring and mapping of companies’ scattered operational and environmental data into the EU-required DPP format, drastically reducing the reporting burden and laying the groundwork for common data standards
• AI-supported sustainability & techno-economic assessment (LCA) — environmental and performance evaluation of primary supply routes, while also reflecting relevant sustainability and due-diligence aspects (e.g. CRMA/CSDDD context)
• Data-driven decision support — translating complex ESG, trade and environmental requirements, including aspects such as regulatory approval and permitting, into automated, data-based insights for mining and processing operators

We are open to partnering with any actors working under Topic 2, for example recyclers, processing and materials actors, sensor/equipment providers, material-flow and data partners, research organisations and pilot hosts.

The August-Wilhelm Scheer Institute (AWSi) is a German applied research institute working at the intersection of artificial intelligence, software architectures and digital innovation. We develop AI, digital-twin and data-platform solutions that turn material, process and product data into actionable intelligence, with a strong emphasis on practical, industry-ready applications in greentech and circular economy. With extensive experience in EU-funded innovation projects, AWSi supports resource-intensive industries in their digital transition toward resilient and sustainable raw-material value chains, bringing expertise in machine learning, computer vision, sensor data analytics, predictive analytics, digital twins, interoperable IT architectures and data ecosystems and increasingly linking these with regulatory, ESG and due-diligence considerations.