Iris

Iris is an advanced AI platform designed to enhance research workflows by providing comprehensive tools for literature analysis and organization. It offers a conceptual search feature that understands research concepts beyond simple keyword matching, allowing users to connect papers based on underlying ideas rather than just keywords. This capability is particularly useful for interdisciplinary researchers who need to bridge findings across different fields.

Key features of Iris include document clustering, which automatically groups papers by similar topics or content, and project workspaces, which help organize research into focused project spaces. Additionally, Iris offers automated screening to filter papers based on relevance, significantly reducing the time spent on systematic reviews. The platform also supports cross-discipline mapping, creating elaborate maps to show how research in one domain connects to other disciplines.

Iris is beneficial for researchers working on complex projects that span multiple disciplines. It helps in understanding conceptual connections between papers and facilitates the organization of large volumes of research materials. By leveraging these features, researchers can efficiently manage their literature reviews and explore new research territories with ease.