Standout features
Elicit searches 138M+ papers, then pulls structured data out of dozens of them into a table you define — the closest thing to an automated systematic review.
Worldwide search interest, indexed 0–100 · Google Trends.
Elicit is the specialist for evidence synthesis — nothing else matches its structured extraction across many papers.
- Best-in-class data extraction into tables.
- Purpose-built for systematic and literature reviews.
- Reads full text, not just abstracts.
It pairs semantic search over papers with LLM summarisation and extraction.
- Extraction accuracy rivals manual coding in tests.
- A Research Agent automates multi-step review workflows.
- Narrowly research-focused by design.
A free Basic tier lets you try it; paid tiers unlock reviews and exports.
Elicit fits evidence-heavy, structured research.
- Researchers running systematic or literature reviews.
- Medical and policy analysts synthesising evidence.
- Anyone comparing findings across many papers.
- You mainly need quick yes/no evidence checks — Consensus fits better.
- You want open-web answers rather than papers.
The trade-offs are price and focus.
- Higher tiers get expensive.
- Narrowly focused on research by design.
- Free Basic credits are limited and one-time.
- Advanced features carry a learning curve.
- ✓Best-in-class structured data extraction
- ✓Purpose-built for systematic reviews
- ✓138M+ papers, reads full text
- ✓High, manual-rivalling accuracy
- ✓Useful free Basic tier
- ✕Expensive at higher tiers
- ✕Narrowly research-focused
- ✕Free credits limited and one-time
- ✕Learning curve on advanced features
Researchers describe Elicit as transformative for literature reviews, especially the extraction tables that compress days of reading. The recurring caveats are cost at the Pro tier and a focus narrow to academic work.
Elicit is an AI research assistant built for scientific literature. It searches 138M+ papers and hundreds of thousands of clinical trials, then extracts structured data into custom tables and runs systematic-review workflows via a Research Agent, with accuracy that rivals manual coding.
Company figures are drawn from public disclosures and reputable trackers (gathered Jun 2026). User and revenue numbers are estimates and move fast.
Pick up to two other coding tools to see them head-to-head on the same rubric.