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Searches Google Scholar, PubMed, and Semantic Scholar at once and drafts a literature review grounded in the papers it finds.
Literfy automates the research-heavy part of writing a literature review: it searches multiple academic databases at once, builds an outline organized by theme, and drafts review text tied back to the specific papers it cites, aiming to avoid fabricated claims by keeping every sentence grounded in a real source. It exports to Word, LaTeX, or PDF, and syncs citations to Zotero, Mendeley, or EndNote in BibTeX or RIS format. The intended users are graduate students, PhD candidates, and industry researchers who'd otherwise spend days manually screening papers before writing. Pricing includes a free tier with starter credits, a one-time credit pack at nineteen dollars, and a monthly subscription at twenty-nine dollars for a larger recurring credit allowance. The company doesn't publish its legal name or country on the site.
Cheapest paid option is a one-time 1,000-credit pack; a $29/month subscription with a larger recurring allowance is also offered.
Use tool ↗Literfy's pitch — grounding every sentence of a generated review in an actual retrieved paper — targets the real failure mode of AI writing tools in academic contexts, which is confident-sounding citations to papers that don't say what the tool claims. Whether it fully avoids that failure mode isn't something that can be verified without testing it against a review the researcher already knows well.
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