AI-powered research assistant that helps scientists find relevant literature and extract insights
Iris.ai is an AI-powered research assistant designed to help scientists and researchers navigate the vast landscape of scientific literature. The platform uses advanced natural language processing to understand research questions and find relevant papers across multiple databases and disciplines. Iris.ai can extract key insights from scientific papers, identify research gaps, and suggest new research directions. The platform is particularly valuable for interdisciplinary research where relevant information might be scattered across different fields and databases.
AI understands research context to find relevant papers across disciplines
Use Case:
Find relevant climate science papers for renewable energy research projects
Identify areas where research is limited or opportunities exist
Use Case:
Discover underexplored areas in interdisciplinary research fields
Extract key findings and methodologies from research papers automatically
Use Case:
Quickly understand key methodological approaches across multiple studies
Find relevant research from adjacent and related scientific fields
Use Case:
Discover relevant biology research for materials science applications
Pricing information is available on the official website.
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