Literfy is an AI research assistant for finding papers and drafting grounded literature reviews. It helps researchers search across multiple sources, discover relevant studies more efficiently, and organize evidence into review-ready outputs. Built for people who want faster academic workflows without losing trustworthiness.
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Maker
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We built Literfy because academic research is still too fragmented and too easy to get wrong. Finding relevant papers takes too much time, and many AI tools generate outputs that sound convincing but are not grounded in real sources.
With Literfy, we wanted to make paper discovery and literature review drafting more reliable. Instead of giving generic summaries, we focus on helping users find relevant studies across multiple sources and turn them into grounded, review-ready outputs.
We’re still early, and we’d love feedback from researchers, students, and anyone working with academic literature. What part of the research workflow feels the most broken to you today?