Paperguide

Paperguide is an AI research assistant that bundles four jobs most academics spread across separate tools: searching the literature, reviewing it, managing references, and writing it up. Its search runs over a corpus the company puts at 200M+ academic papers, and on top of that it layers automated literature reviews, longer "deep research" reports, a citation-grounded reference manager, an AI academic writer, and a chat-with-PDF reader.

It's aimed at researchers, grad students, and anyone writing a thesis or systematic review who is tired of stitching together Elicit for discovery, Zotero for references, and a separate model for drafting. The pitch is that those steps live in one workspace — you find papers, extract findings into a review matrix, save them to a library, and pull citations into a draft without leaving the app. The company claims adoption across 1,000+ researchers and universities.

The competitive picture has tightened since this entry first ran. Paperguide's advantage was always breadth rather than depth, and breadth is worth less now that the deep-research modes built into general assistants handle multi-source synthesis as part of a subscription most people already hold. Against the specialists the gaps are unchanged: Elicit is sharper at structured data extraction, Scite remains the authority on citation context, Consensus is tighter on evidence claims. Paperguide is still the reasonable pick if you genuinely want one subscription covering the whole pipeline — just go in knowing that every individual component has a better version somewhere else, and that the company does not publicly document which underlying models power its writing and review features.