Kahubi vs Elicit

Elicit has earned its reputation for evidence gathering: searching an enormous paper corpus, screening at scale, and extracting structured data. Kahubi covers that stage too — and then keeps going, into statistics, transcription, and a compiled manuscript. Here is an honest look at where each fits.

What Elicit does well

Credit where it's due — these are real strengths, and for some workflows they are exactly what you need.

Searching a very large corpus of academic papers and surfacing work you would miss with keyword search alone
Screening many papers against criteria quickly, with transparent reasoning per paper
Extracting structured data from across papers into comparable tables
A focused, well-designed experience for the evidence-synthesis stage of a review

Where Kahubi differs

One workspace for the whole study, not one stage

Elicit concentrates on the evidence-gathering stage and does it well. Kahubi is an integrated workspace: the same agent that searches and screens also chats with your library, runs statistics on your CSVs, transcribes interviews on an EU endpoint, and edits the manuscript — so nothing gets exported, re-uploaded, or pasted between tools.

The review ends as a manuscript, not a table

Kahubi’s systematic review flow runs from research question to search keys, screening with inclusion/exclusion criteria, and finally a written review — following PRISMA, MOOSE, or Cochrane reporting standards — produced as a real LaTeX draft you can compile to PDF or export to .docx, with the included papers cited in your citation style.

It writes in your voice, from your library

At signup Kahubi finds your own publications and learns a writing-style profile from them — voice, argument structure, hedging habits. Every draft the agent writes starts from your style and your sources, and marks claims it cannot support from them instead of inventing references.

Pricing that starts at free

Kahubi plans run from a real free tier to $99/month with predictable monthly cost — no per-token billing surprises, and a 14-day refund window on new purchases.

Feature comparison

Capability	Elicit	Kahubi
Chats with your full library	Partialworks over papers it finds or that you upload, with a focus on extraction	Yesthe agent reads, searches, and cites your whole library
Edits a real LaTeX manuscript (compiled to PDF)	—	YesLaTeX → PDF compile built in, plus .docx and .tex export
Systematic review flow with PRISMA support	Partialexcellent search, screening, and extraction; the written review happens elsewhere	Yesdefine → search → screen → written review (PRISMA, MOOSE, Cochrane)
Statistics on your CSVs (t-tests, ANOVA, regression…)	—	Yesfrom t-tests to PCA and Cronbach’s alpha, results land in your draft
Interview transcription processed in the EU	—	Yesspeaker labels, 99+ languages, AssemblyAI EU endpoint
Learns your writing voice from your papers	—	Yesa style profile learned from your own publications

Last reviewed August 2026. Based on each product's public materials — features change, so verify details on their site. Spotted something out of date? Tell us and we'll fix it.

Choose Elicit if…

You mainly need large-scale paper discovery, screening, and data-extraction tables, and you are happy to write the review elsewhere.

Choose Kahubi if…

You want search, screening, analysis, and the written, compiled review — plus the rest of your research material — in one workspace.

Kahubi pricing

Simple monthly plans, cancel anytime. A real free tier to start with, and predictable monthly cost on every paid plan.

Free

$0/ month

Try Kahubi on a small project

Starter

$19/ month

For a single ongoing study

Pro

$49/ month

For active researchers

Max

$99/ month

For labs and heavy users

See full plan details →

Kahubi vs Elicit — common questions

Is Kahubi a replacement for Elicit?

They overlap on literature search and screening, and Elicit is genuinely strong there. Kahubi replaces the multi-tool pipeline around that stage: the same workspace screens papers, runs your statistics, transcribes interviews, and writes the review into a compiled LaTeX manuscript in your own style. If all you need is extraction tables, Elicit may be enough; if the work has to end as a manuscript, Kahubi covers the whole arc.

Can Kahubi run a systematic review like Elicit does?

Yes. Kahubi has a dedicated systematic review flow: define the research question, generate and edit search keys, search OpenAlex, screen each paper against your inclusion and exclusion criteria (with AI-suggested decisions you confirm), then write the review into a draft following PRISMA, MOOSE, or Cochrane reporting standards.

Does Kahubi search the same literature?

Kahubi searches OpenAlex (250M+ scholarly works) enriched with Semantic Scholar data, plus the open web, and imports open-access PDFs into your library automatically where available. Coverage differences between scholarly indexes exist for any tool, so for a formal review you should still document your search strategy - Kahubi helps you generate it.

Can I use Elicit and Kahubi together?

Yes. Kahubi imports references via BibTeX, RIS, and CSL-JSON and exports the same formats, so you can move a screened set of papers from one tool to the other without retyping anything.

Try the Kahubi side of the comparison

Sign up free, import your library in minutes, and run one real task — a screening round, an analysis, a draft — before you decide.