Iris.ai

About Iris.ai

Iris.ai is an AI-powered research assistant designed to help users navigate and extract meaning from large volumes of scientific literature. The platform uses natural language processing to go beyond keyword matching, allowing researchers to describe a concept or problem in plain language and receive relevant papers, summaries, and connections across scientific documents. It indexes a broad corpus of academic and technical literature, making it possible to surface research that standard database searches might miss. The primary use cases center on R&D workflows where teams need to conduct thorough literature reviews, identify prior art, map the state of a field, or monitor emerging research trends. Users can upload their own document sets alongside publicly available literature, enabling analysis of proprietary technical content in combination with external sources. The platform also supports tasks like extracting specific data points from papers and identifying contradictions or consensus across sources, which reduces the manual effort involved in synthesizing large bodies of research. Iris.ai is built for professional and enterprise R&D teams rather than individual academic users, and its feature set reflects that orientation. It is particularly relevant for industries like pharmaceuticals, materials science, energy, and engineering, where staying current with technical literature has direct commercial implications. The platform positions itself as a tool for knowledge workers who need to process research at scale rather than read papers one at a time. Pricing is not publicly listed on the website in granular detail, but the product is offered under a commercial model with enterprise licensing, suggesting costs are structured around organizational use rather than individual subscriptions. Prospective customers are directed to contact the company for pricing details. Overall, Iris.ai addresses a genuine bottleneck in research-intensive organizations by making scientific literature more accessible and actionable without requiring users to manually comb through hundreds of documents.

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