Elicit, founded in 2023, targets a specific and time-consuming research task most competitors in this category leave manual: systematic literature review, where a researcher needs to screen, extract, and compare data points across dozens or hundreds of papers rather than read and summarize one document at a time.
Rather than a single-document chat interface, Elicit's core workflow pulls structured data, methodology, sample size, findings, whatever fields a user specifies, out of dozens of papers simultaneously into a comparison table, automating a step that traditionally takes research teams weeks of manual extraction work for large reviews.
A free tier covers standard use, and paid plans start around $12 a month for more extractions and features. For a researcher conducting a systematic review or meta-analysis across a large paper set, rather than asking questions about one document at a time, Elicit's table-based, multi-paper extraction workflow addresses that specific and otherwise labor-intensive task directly.
