Kahubi vs SciSpace

Kahubi is an AI workspace for research writing, reading, and analysis using a researcher’s own papers, drafts, datasets, and transcripts. Its chat searches a library, answers from selected sources, and cites them. Manuscript tools support source-grounded drafting, PDF compilation, Word export, and LaTeX editing. A systematic review workflow searches OpenAlex and the web, screens papers against criteria, and creates PRISMA counts and a written review. Researchers can also create and analyze surveys, run CSV statistics including t-tests, ANOVA, regression, correlation, PCA, and Cronbach’s alpha, and analyze interviews transcribed in 99+ languages with speaker labels and timestamps. Shared projects offer viewer, commenter, and editor roles, with discussion channels and threaded comments. Integrations or supported formats include Zotero, Mendeley, GitHub, BibTeX, RIS, LaTeX, and Microsoft Word. The free plan includes 25 AI messages per month, two projects, 200 library papers, three drafts per project, and a one-time 30-minute transcription trial. Paid plans start at $29 a month. Kahubi says content is not used to train AI models and servers are in the European Union.

SciSpace is a platform for finding, analyzing, and writing about scientific literature. Its literature review tool searches more than 280 million articles and organizes concise findings in tables with customizable columns. Chat with PDF offers citation-backed answers, section-by-section summaries, explanations of highlighted passages, and related-paper recommendations. Writing tools include AI-assisted suggestions, paraphrasing in context, style improvements, and an editor supporting more than 75 languages. Users can import references from Zotero or EndNote, though the Zotero import flow excludes papers without a DOI. A Chrome extension explains selected text, math, and tables; its mobile app is for iOS and supports searching, summarizing, and exploring peer-reviewed journals. SciSpace says its repository has metadata for 200 million-plus papers and 50 million-plus open-access full-text PDFs. It lists extension, iOS, and web access. The free plan is free and includes 100 monthly credits; paid plans start at $20/mo. SciSpace says uploaded PDFs are private to the user and are not used to train its AI models.