From scattered inputs to a recommendation that holds up in the room
Every analysis starts the same way: a stack of market reports, a round of stakeholder interviews, a spreadsheet, and a presentation deadline. Kahubi reads the reports and cites what it found, transcribes the interviews with speaker labels, runs the numbers on your data, and drafts the recommendation — with every claim traceable to a source.
Free plan included. No credit card required.
Where Kahubi fits your work
Search every report in the project, not just the one you remember
Load market reports, competitor filings, internal studies, and industry publications into a project library. The agent searches and cites across all of them — so findings come with the document and page, not "I think I read that somewhere".
Stakeholder interviews, transcribed and analyzable
Speaker-labeled transcription in 99+ languages, processed on an EU endpoint. Then run thematic analysis across every interview at once and pull supported quotes straight into the deliverable.
Numbers the room can interrogate
Run regressions, cross-tabs, significance tests, and correlation analysis on your CSVs in the workspace — real statistics, not eyeballed charts — and drop the results directly into the report.
Validate assumptions with real data
Design a stakeholder or market survey, share a live collection link, and watch responses chart in real time — then analyze and write up the findings without ever leaving the workspace.
Evidence for the business case
"Do companies that adopt X actually outperform?" Get published research screened for support or opposition to the specific claim — evidence for the case you are building, not a footnote from a consultant’s white paper.
The recommendation deck, drafted from the evidence
Generate a slide deck grounded in your analysis and sources, export to PPTX, and finish in your firm’s template — without re-entering the same numbers from the report.
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
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
What changes
- Every recommendation traceable to a document, interview, or dataset — not memory
- One workspace per engagement: market research, interviews, analysis, and the deliverable together
- EU data processing for stakeholder recordings — an easy answer to client security reviews
- Team workspaces so analysts share one library instead of emailing document versions
- Encrypted, GDPR-compliant infrastructure with no training on your content
Common questions
How does this compare to just asking a chatbot?
How does Kahubi handle confidential client material?
Can multiple analysts work in the same project?
Ship the next recommendation with receipts
Free to start. Bring the reports and interviews; leave with a defensible deliverable.