Kahubi for researchers

The whole study in one workspace — not five tools and a folder of exports

Kahubi covers the full arc of a study: find and screen papers, chat with your library, analyze your data, transcribe your interviews, and write the manuscript in your own voice. Nothing gets pasted between tools, and the draft compiles to a real PDF.

Free plan included. No credit card required.

Where Kahubi fits your work

Library chat

An agent that reads your whole library

Upload your PDFs once. The agent searches, reads, and cites across all of them — and marks claims it cannot support from your sources instead of inventing references.

Systematic review

Reviews that end as a written draft

Define the question, generate search keys, search OpenAlex, screen against your inclusion criteria, and get a written review following PRISMA, MOOSE, or Cochrane — as a LaTeX draft you can compile to PDF or export to .docx.

Statistics

Statistics on your own CSVs

From t-tests and ANOVA to regression, PCA, and Cronbach’s alpha — run the analysis in the workspace and the results land in your draft, not in a screenshot.

Transcription

Interviews transcribed in the EU

Speaker labels, 99+ languages, processed on an EU endpoint. Then code and analyze the transcripts with the framework you choose.

Writing voice

Drafts that sound like you

At signup Kahubi finds your publications and learns a style profile from them — voice, argument structure, hedging habits. Every draft starts from your style, not a generic chatbot register.

Monitor

Your field, watched for you

Follow topics and authors; Kahubi checks for new papers on your schedule and sends a digest so you never find out about a key paper six months late.

AI chat

Chat with your library, not a generic chatbot

Kahubi answers from the papers, drafts, datasets, and transcripts you actually have. Type @ to pull any source into the conversation; the agent reads it, searches your library, and cites what it used.

  • @-mention papers, drafts, datasets, interviews, and files
  • Select text in any PDF to explain, summarize, or translate it
  • Agent searches OpenAlex and the web, and imports papers for you
Kahubi's AI chat answering from the user's library, with a tool chip and cited references
Writing

Write accurate manuscripts, grounded in your sources

Draft in a clean editor and let the AI help — it writes in your voice, learned from your own publications, and every paragraph stays anchored to the papers, data, and notes you actually have, never invented. Read it as a formatted PDF, edit it like a Word document, or drop into LaTeX when you want fine control.

  • Writes in your voice: a style profile learned from your published work, not a generic chatbot register
  • Grounded in your library: the AI writes from your real papers and data, and cites what it used
  • One click to a compiled PDF, plus Word (.docx) export and full version history
A manuscript compiled to a typeset PDF in Kahubi

What changes

  • One workspace instead of a pipeline of exports between search, screening, stats, and writing tools
  • A real free tier to start with, and paid plans with predictable monthly cost
  • Reporting standards built in: PRISMA, MOOSE, Cochrane, CONSORT
  • EU processing for transcription and GDPR-conscious handling throughout
  • Grant writing, ethics applications, and journal submission flows for the parts of research nobody enjoys

Common questions

How is this different from pasting text into a chatbot?
A chatbot sees what you paste. Kahubi’s agent works over your actual library, your data files, and your manuscript — it searches your PDFs, runs real statistics on your CSVs, and edits a LaTeX draft that compiles to PDF. It also cites from your sources and flags claims it cannot support instead of inventing references.
Can I trust it with unpublished data?
Your library and data stay in your workspace and are not used to train models. Transcription runs on an EU endpoint. See the compliance page for specifics.
Does it work for qualitative research?
Yes — interview transcription with speaker labels, framework-based coding and analysis, survey design with a live collection link, and Delphi studies with expert consensus rounds are all built in.

Run your next study in one workspace

Free to start. Your library, your data, your voice — and a manuscript at the end.

Kahubi for other roles