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Well-adopted AI research assistant for finding papers, summarizing, and extracting data at scale.
Free-first literature discovery tool that visually maps citation networks and related papers to speed up systematic reviews.
Widely used visual tool for exploring related academic papers.
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
- ✦AI-enabled systematic reviews
- ✦Research reports
- ✦Upload your own PDFs
- ✦Quick summaries
- ✦Source quotes
- ✦Question answering
- ✦Citation and author network exploration from a seed paper
- ✦Interactive visualizations of how topics relate over time
- ✦Unlimited library organization and collection sharing
- ✦Zotero integration for syncing saved papers
- ✦Up to 300 seed articles supported on the paid tier
- ✦Alerts for new related research
- ✦Visual graph generation of related academic papers
- ✦Discovery of prior and derivative works
- ✦Identification of important and relevant papers
- ✦Exploration of research field dynamics
- ✦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
- →Building a systematic literature review efficiently
- →Discovering research gaps in an unfamiliar field
- →Tracking new publications related to saved papers
- →Visualizing how a body of research has evolved
- →Getting a visual overview of a new academic field
- →Ensuring no key papers are missed in a field with a large volume of new publications
- →Creating a bibliography for a thesis
- →Discovering relevant prior and derivative works
- →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