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CiteLoom Case Study: An AI Literature Review Tool With Verified Citations
Screenshot of citeloom.app (opens in a new tab), taken 2026-11-04.
CiteLoom drafts literature reviews for postgraduate researchers, without the invented references chatbots are known for. It finds real papers, lets the researcher approve the plan, drafts with inline citations, then checks each cited sentence against the source.
At a glance
- Built by: Kavenacc Digital Solutions
- Sector: SaaS (AI research and writing)
- Location: Worldwide, with M-Pesa for Kenya
- Live site: citeloom.app (opens in a new tab)
The goal
Give researchers a fluent first draft where every claim can be traced to a real source.
What we built
- A four-step workflow: source, approve, draft, then check and revise
- The exact source passage behind every citation, one click away
- Retracted and invented papers excluded automatically
- An evidence table and an integrity report of the process
- Free editing with undo, keyboard-first review, and export to Word, LaTeX, BibTeX and RIS
- A free first draft, then pay-per-draft plans by card or M-Pesa
Built to be checked
In academic work a fluent paragraph is worthless if the reference is fake. CiteLoom puts verification at the centre of the product, so the researcher stays the author and can defend every citation.
Lessons for similar businesses
- In AI products, make the output checkable.
- Keep the human in charge of the key decisions.
- Offer a free first result before asking for payment.
More work
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