About Elicit
Elicit — Elicit uses language models to help you automate research workflows, like parts of literature review. Elicit can find relevant papers without perfect keyword match, summarize takeaways from the paper specific to your question, and extract key information from the papers. Elicit can also help with other research tasks like brainstorming, summarization and text classification.
Top use cases
- Speeding up literature reviews
- Automating systematic reviews and meta-analyses
- Learning about new domains
- Data extraction in rigorous systematic literature reviews
Built for
Key features
- AI-enabled systematic reviews
- Research reports
- Upload your own PDFs
- Quick summaries
- Source quotes
- Question answering
Pros & cons
Pros
- Saves time on research tasks
- Analyzes evidence effectively
- Understands academic values like quality and accuracy
- Identifies high-value research seeds
- Provides comprehensive answers
- Transparent screening criteria
- Citations are backed by supporting quotes
Cons
- Accuracy is around 90%, requiring user verification
- Does not answer questions outside of academic papers
- Less effective for non-empirical or theoretical domains
- Language models sometimes make up inaccurate answers
Pricing
Basic
$0
For casual exploration
Plus
$10/ month
For deeper research
Pro
$42/ month
For systematic reviews
Team
$65/ user
For collaboration
Enterprise
For companies and schools
Company information
- Elicit Login Elicit Login Link
- https://elicit.com/users/auth?show=signin
- Elicit Sign up Elicit Sign up Link
- https://elicit.com/users/auth?show=signup
- Elicit Pricing Elicit Pricing Link
- https://elicit.com/?utm_source=toolify#Pricing
- Elicit Youtube Elicit Youtube Link
- https://www.youtube.com/channel/UCrk6FdO_Bg_Xcll270F2xDQ
- Elicit Linkedin Elicit Linkedin Link
- https://www.linkedin.com/company/elicit-research/mycompany/verification/
- Elicit Twitter Elicit Twitter Link
- https://twitter.com/elicitorg?lang=en
- Elicit Github Elicit Github Link
- https://github.com/elicit
Frequently asked questions
How do researchers use Elicit?
Researchers commonly use Elicit to speed up literature reviews, find papers they couldn’t find elsewhere, automate systematic reviews and meta-analyses, and learn about new domains. Elicit tends to work best for empirical domains that involve experiments and concrete results.
What is Elicit not a good fit for?
Elicit does not currently answer questions or surface information that is not written about in an academic paper. It tends to work less well for identifying facts (e.g. "How many cars were sold in Malaysia last year?") and in theoretical or non-empirical domains.
What types of data can Elicit search over?
Elicit searches across 125 million academic papers from the Semantic Scholar corpus, which covers all academic disciplines. When you extract data from papers in Elicit, Elicit will use the full text if available or the abstract if not.
How accurate are the answers in Elicit?
A good rule of thumb is to assume that around 90% of the information you see in Elicit is accurate. It’s very important for you to check the work in Elicit closely. We try to make this easier for you by identifying all of the sources for information generated with language models.
What happens to papers uploaded to Elicit?
When you upload papers to analyze in Elicit, those papers will remain private to you and will not be shared with anyone else.
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