We are looking to join a transnational RAMP consortium under Topic 1 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 for exploration & resource characterization — machine learning on geological, geophysical, sensor and hyperspectral data to support exploration and characterization of primary deposits
• AI recognition & sensor-based sorting — improving grade, throughput and processing efficiency
• Process architecture & digital twins - modeling primary value-chain workflows in beneficiation, hydrometallurgical and electrochemical processing and refining - raising yield and lowering energy and chemical consumption, while tracking environmental impact, compliance data and operational bottlenecks in real time
• Data ecosystems & interoperable platforms — building scalable data spaces and IT architectures to integrate, harmonize and exchange geological, process and supply-chain data across primary raw-material value chains, including AI-based mapping of operational and environmental data into standardized formats (e.g. Digital Product Passport, DIN SPEC)
• Predictive analytics & process monitoring — for primary-processing operations, including support for pilot-scale validation
• 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 1, for example mining companies, metal producers and refineries, technology providers, engineering 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 and hyperspectral data analytics, predictive analytics, digital twins, interoperable IT architectures and data ecosystems. AWSi also combines AI with legal and regulatory analysis, turning ESG, due-diligence and CRMA requirements into automated, data-based workflows.