An enormous amount of valuable information is created within social innovation ecosystems. However, this knowledge is frequently fragmented across various documents, databases, and individual accounts, making it difficult to find, understand, and apply. This lack of a centralised , user-friendly hub prevents a shared understanding and hinders the development of new ideas based on what the community already knows. A solution is needed that can organise this information and transform it into a dynamic, collective resource. Different ecosystems, projects, and communities generate a wealth of valuable knowledge –from data and reports to best practices – but this information often remains scattered and underutilised . To unlock the full potential of collective intelligence, we need a solution that not only makes this knowledge visible and accessible but also provides an interactive, AI-assisted interface for discovery and insight generation . In this project, we aim to design a user interface that offers a clear, high-level overview of the knowledge base’s content and structure. This interface should be intuitive for both experts and newcomers, enabling them to quickly identify relationships between different data points (e.g., projects, people, reports, and concepts). How might we create simple, easy-to-use AI tools that help users find meaningful information and understand the connections between findings and results?