
Paperguide
Paperguide is an AI-native platform for scientific research, literature reviews, systematic reviews, and evidence synthesis, with built-in reference management, research agents, data extraction, and citation-grounded writing.
About Paperguide
Paperguide
Paperguide helps researchers find, organize, synthesize, and cite research in one workspace. Its AI Search answers plain-language research questions with a synthesized answer drawn from 200M+ papers, with claims linked to sources. The Reference Manager imports libraries from Zotero or Mendeley, adds papers by DOI, and fetches metadata and open-access PDFs. The Systematic Review product supports protocol-driven reviews with dual independent screening, AI-prepared cited evidence for each criterion, extraction verification, and PRISMA reporting, with the final decisions kept with human reviewers. Extract Data builds structured, cited evidence tables across many papers with exportable CSV or Excel output. The Research Agent explores topics, chats with PDFs, and generates literature reviews of up to 50 papers. AI Writer drafts citation-grounded text and supports 1,000+ citation styles. Team workspaces with role-based permissions are described, and the page says GDPR, SOC 2, and ISO 27001 are coming soon. The page also lists customer case studies with reported time savings, which are the vendor's own claims.
Key features
- AI Search that returns synthesized answers from 200M+ papers with claims linked to sources
- Reference Manager with Zotero and Mendeley import, DOI import, and metadata and open-access PDF retrieval
- Systematic Review workspace with dual independent screening, conflict resolver, and PRISMA reporting
- AI-prepared cited evidence for each screening criterion, with human final decisions
- Extract Data with user-defined extraction columns and CSV or Excel export
- Research Agent for multi-step topic exploration, Chat with PDF, and literature review generation of up to 50 papers
- AI Writer for citation-grounded drafting and citation in 1,000+ styles
- Team shared workspaces with roles controlling edit, review, or read access
- Source strength indicators such as SJR, SNIP, and citation signals on results
Best suited for
- Academic researchers conducting literature reviews
- Teams running systematic reviews and evidence synthesis
- Medical device, pharma, HEOR, and government policy analysts
- Research institutions and labs managing shared literature projects
- Students and researchers writing papers with cited sources
Pricing
Not stated on the website
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