Iris.ai is an AI-powered platform designed to help users process large volumes of textual information with context-aware search, summarization, document analysis, and extraction tools — particularly for scientific, technical, and enterprise content. It can support research workflows and enterprise AI deployments like retrieval-augmented generation (RAG) systems.
Researchers, R&D teams, and enterprises face information overload: millions of papers, patents, reports, and internal documents exist with new ones added daily. Iris.ai helps reduce manual search time, uncover relevant literature faster, and support deeper insights — freeing professionals to focus on analysis, innovation, and strategy instead of rote tasks.
Users upload collections of research or connect to data sources; Iris.ai uses natural language processing and machine learning to map concepts, extract key findings, summarize content, and visualize relationships across documents. There are also tools for evaluation and integration into enterprise AI workflows like agentic RAG.
