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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.
Free-first literature discovery tool that visually maps citation networks and related papers to speed up systematic reviews.
Enterprise AI knowledge platform that unifies complex regulated-industry data into trusted, AI-ready intelligence for R&D and agents.
AI language coach offering conversational practice with real-time feedback across 130+ languages.
No public pricing
No public pricing
No public pricing
Free trial available
- ✦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
- ✦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
- ✦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
- ✦Conversational practice with AI tutors
- ✦Real-time personalized feedback and corrections
- ✦Dialogue, sentence, word, call, photo, and debate modes
- ✦Voice interaction with natural AI voices
- ✦Grammar courses and language certificates
- ✦130+ languages on web, iOS, and Android
- →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
- →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
- →Grounding enterprise AI agents in trusted internal knowledge
- →Accelerating R&D literature and data analysis
- →Unifying siloed regulated data for AI applications
- →Self-learners practicing conversational fluency
- →Business teams training employees in new languages
- →Students supplementing classroom language education