Elicit
An AI research agent built for scientific literature, search, screen and extract cited data from 138M+ papers.
Best forAcademic researchers, R&D and policy teams, and students running literature reviews or formal systematic reviews who need cited, structured evidence pulled from published research.
Our verdict
Elicit is the research agent in this category actually built for scientific literature rather than the open web.
The one research agent built specifically for scientific literature, a genuine Systematic Review workflow at scale, not a general web-research agent wearing an academic skin.
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What's great
- A genuine Systematic Review workflow that automates screening at scale (5,000-40,000 papers depending on tier) — a real PRISMA-adjacent process, not a chat wrapper over search.
- Every generated claim carries a sentence-level citation back to the source paper, and the Research Agent extracts structured data rather than just summarising.
- Backed by real scale and continuity: 5M+ researchers, $31M total raised ($9M seed + a $22M Series A led by Spark Capital), and a public-benefit-corporation structure aligned with its research mission.
Watch-outs
- Independent reviewers note it can miss papers a traditional database search would catch, especially very recent ones — for a formal systematic review it should supplement, not replace, comprehensive manual retrieval.
- Elicit's own documentation acknowledges hallucination is a real risk despite its safeguards, and directs users to verify important findings against the original paper rather than trust the summary alone.
- It is strongest on empirical, formulaic research (clinical trials, ML benchmarks); less formulaic or open-ended theoretical work is more likely to lose nuance.
- Pro pricing ($49/mo) is steep next to narrower single-purpose competitors like Consensus (roughly $9-10/mo) if all you need is quick paper lookups rather than full systematic-review tooling.
Also note: Best treated as a supplement to, not a replacement for, exhaustive manual search in a formal systematic review. · Hallucination risk is real and self-disclosed by Elicit, verify load-bearing findings against the source paper.
What is Elicit?
Elicit is an AI research agent purpose-built for scientific and academic literature, not the open web. It began in 2021 inside Ought, a nonprofit co-founded by CEO Andreas Stuhlmüller to research AI reasoning, and spun out as an independent public benefit corporation, raising a $9M seed round and later a $22M Series A (Spark Capital, Footwork) at a $100M valuation. Given a research question, its Research Agent autonomously plans sub-questions, searches over 138 million papers, and extracts sourced findings into structured tables — used by 5M+ researchers across academia, pharma, policy and industry.
What does Elicit do?
You give Elicit a topic and it works across three connected layers. Paper Search finds and summarises relevant papers from its 138M+-paper index and lets you chat with individual PDFs. The Research Agent (launched December 2025) goes further: it autonomously plans a set of sub-questions, runs searches across each, and assembles the findings into an interactive report or a data-extraction table, up to 20 columns on the Pro tier, 30 on Scale, 40 on Enterprise, pulling structured data (sample sizes, outcomes, methods) directly out of each paper rather than just summarising it. A dedicated Systematic Review workflow automates the screening step of a formal literature review, screening up to 5,000 papers on Pro and 40,000 on Enterprise against inclusion criteria you set, with Elicit's own pricing page describing "PRISMA-grade accuracy" at the top tier. Every generated claim carries a sentence-level citation back to the source paper, you can import an existing Zotero library, set up recurring alerts for new matching papers, and Pro-and-above plans add API access for building the search or extraction layer into your own tools.
Key features
- Research Agent: Autonomously plans sub-questions, searches the literature and assembles findings into an interactive, cited report or table.
- Systematic Review workflow: Automates screening thousands of papers against inclusion criteria for a formal literature review, up to 40,000 papers on Enterprise.
- Structured data extraction: Pulls specific data points (sample size, method, outcome) out of papers into a table with up to 40 columns, not just a summary.
- 138M+-paper search with citations: Every generated claim links back to a sentence-level citation in the source paper so you can check it yourself.
- Zotero import + API: Bring an existing reference library in, and (Pro tier and above) call Elicit's search and extraction layer from your own code.
What are Elicit's use cases?
- Literature review for a new project: A researcher starting a new study asks Elicit to map what has already been published on a question before designing their own work.
- Formal systematic review: A team runs the Systematic Review workflow to screen thousands of candidate papers against inclusion criteria for a PRISMA-style review.
- Cross-paper data extraction: A policy or pharma analyst extracts the same handful of data points (sample size, effect size, population) across dozens of papers into one comparable table.
What does Elicit integrate with?
- Zotero (import an existing library)
- API access (Pro tier and above)
- Extraction from 135-200 external data sources depending on tier
- Model Context Protocol (MCP) — Elicit ships an official MCP server so Claude Desktop, Claude Code and other MCP clients can call its search/extraction API
Why use Elicit?
- Purpose-built for scientific literature, not a general web-answer engine wearing an academic skin.
- A genuine Systematic Review workflow — automated screening at PRISMA-grade rigor, not just a chatbot over PDFs.
- Every claim carries a sentence-level citation back to the source paper.
- A real free tier plus a paid API, so you can trial it before committing or automating it.
Pros & cons
Pros
- A genuine Systematic Review workflow that automates screening at scale (5,000-40,000 papers depending on tier) — a real PRISMA-adjacent process, not a chat wrapper over search.
- Every generated claim carries a sentence-level citation back to the source paper, and the Research Agent extracts structured data rather than just summarising.
- Backed by real scale and continuity: 5M+ researchers, $31M total raised ($9M seed + a $22M Series A led by Spark Capital), and a public-benefit-corporation structure aligned with its research mission.
Cons
- Independent reviewers note it can miss papers a traditional database search would catch, especially very recent ones — for a formal systematic review it should supplement, not replace, comprehensive manual retrieval.
- Elicit's own documentation acknowledges hallucination is a real risk despite its safeguards, and directs users to verify important findings against the original paper rather than trust the summary alone.
- It is strongest on empirical, formulaic research (clinical trials, ML benchmarks); less formulaic or open-ended theoretical work is more likely to lose nuance.
- Pro pricing ($49/mo) is steep next to narrower single-purpose competitors like Consensus (roughly $9-10/mo) if all you need is quick paper lookups rather than full systematic-review tooling.
Limitations
- Best treated as a supplement to, not a replacement for, exhaustive manual search in a formal systematic review.
- Hallucination risk is real and self-disclosed by Elicit, verify load-bearing findings against the source paper.
Elicit pricing
- BasicFree
- Pro$49 / /mo
- Scale$169 / /mo
- EnterpriseCustom
See current pricing on elicit.com ↗Compare Elicit alternatives →
Elicit specs
Pricing
- Pricing model
- freemium
- Free tier
- ✓ Yes
Capabilities
- Model / LLM
- Multi-model backend (not publicly disclosed)
- Interface
- Web
- Public API
- ✓ Yes
- Open source
- ✗ No
Deployment
- Deployment
- Cloud
Elicit review
Elicit is the research agent in this category actually built for scientific literature rather than the open web. Its Research Agent autonomously plans and runs a multi-step literature investigation, its Systematic Review workflow automates the screening step of a formal review at real scale (thousands of papers, PRISMA-grade per its own claim at the top tier), and every generated claim links back to a sentence-level citation in the source paper — a genuinely different job than Perplexity's live-web answers or Manus's general task automation. The honest caveats are self-disclosed: Elicit's own docs admit hallucination risk and tell users to verify important findings against the original paper, independent reviewers find it can miss papers a manual search would catch, and it performs best on empirical, formulaic research rather than open-ended theoretical work. Pick Elicit if you need cited, structured evidence from published literature at academic rigor; skip it if you want general web research or broader task automation.
The one research agent built specifically for scientific literature, a genuine Systematic Review workflow at scale, not a general web-research agent wearing an academic skin.
Frequently asked questions
Is Elicit free?
What does Elicit's Research Agent do?
Can Elicit do a formal systematic review?
How accurate is Elicit, and does it hallucinate?
Does Elicit have an API?
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