What does Elicit actually do?
A lot of research work breaks down before the “analysis” part starts. You open a broad question, search a few keyword combinations, get hundreds of papers back, then spend hours deciding which ones are noise, which ones are relevant, and where each important claim actually lives. Elicit is aimed at that messy middle. Its search product says it can rank papers by semantic similarity instead of exact keyword overlap, then review the top 1,000 candidates and let you apply natural-language screening criteria. For someone doing policy research, pharma landscape scans, or a literature review, that is more useful than a chatbot that gives you one neat paragraph and hides the search path.
The product gets more concrete once you move beyond the homepage. The reports workflow says every claim links to exact source quotes, and the systematic review page adds exclusion reasons, supporting quotes, PRISMA-oriented auditability, and extraction from tables and figures. That matters because the core promise is not just “faster answers.” It is “faster evidence handling with a paper trail.” If you are comparing interventions, scanning biomarkers, or trying to summarize a field for a decision memo, the useful output is a report or table you can inspect, rerun, export, and defend, not just a generated paragraph.