INRA searches the academic record, organizes evidence into themes, and drafts a narrative literature review with citations you can inspect before using.
INRA's AI Literature Review Generator is a source-backed narrative review tool that searches 220M+ academic papers, supports PDFs and Zotero sources, and drafts literature reviews with inspectable citations.
It is built for researchers, graduate students, clinical teams, and R&D groups that need a trustworthy literature review draft they can inspect, revise, and cite.
INRA grounds review drafts in academic sources and keeps claims connected to papers. The workflow is designed for research synthesis instead of open-ended text generation.
Workflow
Start with a research question and search 220M+ papers across academic databases.
Upload PDFs or bring in Zotero sources so known papers and discovered papers are synthesized together.
INRA groups findings into coherent themes and keeps claims tied to the papers they came from.
Inline citations link back to source material so researchers can verify evidence before using the draft.
AI Review Tools
A narrative literature review needs more than fluent prose. INRA is built around source retrieval, synthesis, citation inspection, and researcher review so drafts can be checked before they become part of a thesis, grant, manuscript, or evidence summary.
Use Cases
NLR is the right workflow when you need a trustworthy draft to inspect, revise, and build on. It is especially useful before publication writing, grant planning, and deeper review projects.
FAQ
An AI literature review generator helps researchers search, organize, synthesize, and draft a review from academic sources. INRA focuses on source-backed narrative literature reviews, so generated claims are connected to papers that can be inspected.
Use a narrative literature review when you need fast field orientation, a thesis or grant background section, or a citation-backed synthesis draft. Use SLR Copilot when your project requires protocol-led screening, reviewer decisions, risk-of-bias assessment, and PRISMA-compliant exports.
Yes. INRA supports uploaded PDFs and Zotero sources, so your existing research can be synthesized alongside papers found through academic search.
