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Well-adopted AI research assistant for finding papers, summarizing, and extracting data at scale.
AI research assistant for reading, searching, and writing about academic papers, built for researchers managing a personal library.
Widely used visual tool for exploring related academic papers.
AI tool that summarizes scientific papers into abstract, methods, results, and conclusion sections, with figure and citation support.
Enterprise AI knowledge platform that unifies complex regulated-industry data into trusted, AI-ready intelligence for R&D and agents.
Free trial available
No public pricing
- ✦AI-enabled systematic reviews
- ✦Research reports
- ✦Upload your own PDFs
- ✦Quick summaries
- ✦Source quotes
- ✦Question answering
- ✦AI-assisted search across academic papers
- ✦Chat-based Q&A over uploaded documents with source citations
- ✦Personal research library with retention limits by plan
- ✦AI writing agent for drafting research-based content
- ✦API access for institutions and businesses
- ✦Adjustable file upload size (up to 300 pages on top tier)
- ✦Visual graph generation of related academic papers
- ✦Discovery of prior and derivative works
- ✦Identification of important and relevant papers
- ✦Exploration of research field dynamics
- ✦Structured section-by-section paper summarization
- ✦Bulk and multi-paper summarization and comparison
- ✦Chat with figures for data interpretation
- ✦Folder and tag-based library organization
- ✦Semantic search across indexed documents on Pro
- ✦ChatGPT connector integration
- ✦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
- →Finding papers relevant to a research topic
- →Getting quick summaries and answers from long PDFs
- →Managing and revisiting a personal library of research papers
- →Drafting literature-informed writing with AI assistance
- →Integrating paper search/analysis into an institution's own tools via API
- →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
- →Students digesting dense research papers quickly
- →Researchers doing literature reviews across many papers
- →Academics organizing a personal paper library
- →Grounding enterprise AI agents in trusted internal knowledge
- →Accelerating R&D literature and data analysis
- →Unifying siloed regulated data for AI applications