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Well-adopted AI research assistant for finding papers, summarizing, and extracting data at scale.
Free nonprofit tool that visualizes scientific literature as topic maps, clustering papers to speed research discovery.
AI research workspace that drafts full academic papers with verified inline citations from up to 500 uploaded sources in a single prompt.
AI reviewer that critiques academic manuscripts and Coauthor agents that search, cite, and draft alongside researchers.
Enterprise AI knowledge platform that unifies complex regulated-industry data into trusted, AI-ready intelligence for R&D and agents.
No public pricing
No public pricing
No public pricing
- ✦AI-enabled systematic reviews
- ✦Research reports
- ✦Upload your own PDFs
- ✦Quick summaries
- ✦Source quotes
- ✦Question answering
- ✦AI-generated visual maps of research topics
- ✦Clusters papers into themes
- ✦Open-access resource discovery
- ✦Open-source and nonprofit
- ✦Custom integrations/embedding for organizations
- ✦Full document drafting from one prompt
- ✦Automated literature search via Semantic Scholar
- ✦Import and cite up to 500 uploaded papers
- ✦Inline citation verification
- ✦Export to PDF, Word, LaTeX, and BibTeX
- ✦Overleaf integration for manual editing
- ✦Zotero and Mendeley library import
- ✦AI manuscript review flagging gaps in argument and evidence
- ✦Citation search across 200+ million academic sources
- ✦Coauthor agents that search, read, and draft alongside users
- ✦Journal recommender and chat support
- ✦Confidentiality guarantee that documents aren't used for AI training
- ✦Axion for turning data chaos into AI-ready intelligence
- ✦Neuralith for converting enterprise knowledge into an AI engine
- ✦RSpace for precision intelligence in complex R&D
- ✦Data unification across fragmented enterprise sources
- ✦Built for regulated, compliance-driven industries
- →Speeding up literature reviews
- →Automating systematic reviews and meta-analyses
- →Learning about new domains
- →Data extraction in rigorous systematic literature reviews
- →Get an overview of a research field
- →Find relevant papers faster
- →Identify key concepts in the literature
- →Embed discovery tools in library systems
- →Researchers producing a literature review quickly
- →Students drafting long papers with verified citations
- →Academics writing in a non-native language
- →Exporting AI-drafted content into LaTeX workflows
- →Graduate students refining a thesis or dissertation
- →Researchers preparing a manuscript for journal submission
- →Students polishing essays and reports for coursework
- →Getting fast feedback without waiting on a supervisor
- →Grounding enterprise AI agents in trusted internal knowledge
- →Accelerating R&D literature and data analysis
- →Unifying siloed regulated data for AI applications