OpenRead is a research-intelligence workspace for academic papers: Paper Espresso rapidly condenses a paper into its key points so researchers can quickly assess relevance, Paper Q&A lets users ask specific questions and get answers sourced directly from the document, and the Oat AI Assistant provides interactive, in-depth Q&A across papers.
Answering questions directly from a specific paper’s own content, rather than from general training-data knowledge, is what makes this trustworthy for actual research work – a researcher needs an answer grounded in what a specific study actually says, not a plausible-sounding generalization about the field. Paper comparison and visual mapping of related work extends the same grounding into literature-review territory, helping surface how papers relate to each other rather than reading them in isolation.
OpenRead’s database updates every 5 minutes to stay current with new publications, with integrated note-taking for organizing findings alongside the papers themselves. A free tier offers unlimited PDF uploads with a capped number of monthly AI feature uses; paid tiers remove those caps.
