The global demand for critical raw materials (CRMs) continues to escalate, driven by the rapid expansion of modern technologies and transition towards a greener economy. These materials are indispensable components in everything from electric vehicle batteries and renewable energy infrastructure to advanced electronics. For Europe, securing a stable and sustainable supply of CRMs is not merely an economic concern but a strategic imperative. However, the extraction and processing of these materials often involve significant environmental complexities and operational challenges, necessitating advanced solutions that promote responsibility and efficiency throughout the mining lifecycle.
In response to these challenges, the GoldenRAM platform emerges as a pivotal response, establishing itself as a cloud-based Earth Observation (EO) and Artificial Intelligence (AI) platform specifically tailored for Europe’s Critical Raw Materials sector. Its comprehensive design supports the entire mining lifecycle, from the earliest stages of exploration and active resource extraction to post-closure environmental monitoring.
At its core, GoldenRAM functions by integrating multi-source geospatial data with sophisticated AI analytics. This powerful combination is engineered to transform vast quantities of raw data into actionable insights for a diverse array of stakeholders, including mining companies, regulatory bodies, academic researchers, and financial investors. It achieves this empowerment by internal AI Knowledge Packs and provides a significant advantage over traditional, manual, or fragmented data analysis methods.
Who are the GoldenRAM platform users?
GoldenRAM is not a monolithic solution; its design intelligently caters to the varied professional requirements within the Critical Raw Materials sector. This structured approach ensures that each user group receives the precise tools and access necessary for their specific role, thereby maximising utility and upholding robust security protocols.
To provide a clear and concise overview of these distinct roles, the following table summarises GoldenRAM’s user types and their key capabilities.
The GoldenRAM platform users
WebUI Users: Intuitive Access to Insights
This group represents the broader user base, e.g. executives, regulators, investors, and non-technical stakeholders who require quick, clear insights without deep technical interaction. Access for WebUI users is dependent on their assigned role group and is granted via an email invitation. Their primary capabilities include the ability to search, inspect, and visualise published datasets through an intuitive Natural Language Processing (NLP) Assistant. This conversational interface simplifies data exploration, making complex information readily digestible for strategic decision-making and general oversight.
Backend Users: Operational Power
Backend users represent a more technical stratum of engagement within the platform. They connect directly to the platform’s backend via an SSH connection, indicating a higher, but still not expert, level of technical proficiency. Their key functions involve running any of the existing AI Knowledge Packs (AIKPs) and publishing the outputs of these AIKPs to the WebUI, based on their assigned credentials. This group likely comprises data analysts, geologists, and operational staff who execute pre-built AI models and disseminate their results for broader consumption within the organisation or to external stakeholders.
AIKP Developers: Driving Innovation and Expanding Capabilities
AIKP Developers constitute the most technically advanced user group, responsible for extending the platform’s analytical power and fostering its continuous evolution. They possess all the capabilities of a Backend user. Crucially, they also have access to the platform’s open-source code, which is fundamental to their unique contribution: the ability to develop and test new AIKPs. The clear delineation of user types—WebUI, Backend, and AIKP Developers—with distinct access methods (email invitation, SSH connection, and open-source code access) and varying capabilities signifies a meticulously designed architectural approach.
This layered structure also allows GoldenRAM to cater to a broad spectrum of users—from casual data consumers to highly specialised technical developers—while maintaining robust security protocols and system stability. It ensures that users only have access to the functionalities and data relevant to their role, preventing unauthorised or accidental modifications by less technical users.
While most platforms primarily focus on the consumption of services, GoldenRAM empowers its most technical users to contribute directly to the platform’s core analytical capabilities by developing new AI Knowledge Packs. The open-source code access is a critical enabler here, significantly lowering the barrier for external developers to understand, integrate with, and extend the platform’s functionalities. The ability for backend users to publish these newly developed or improved AIKP outputs to the WebUI means that innovations from the developer community can be seamlessly integrated and immediately benefit the broader user base. This creates a powerful feedback loop and positions GoldenRAM as a central hub for research and development in the CRM sector, attracting top talent and fostering a continuous cycle of improvement and knowledge dissemination.