Elicit is an AI-powered research tool that helps users analyze research papers at superhuman speed. It automates time-consuming tasks like summarizing papers, extracting data, and synthesizing findings. Elicit searches across a database of 125 million academic papers and allows users to upload their own PDFs for analysis. It offers features such as generating one-sentence abstract summaries, finding themes and concepts across multiple papers, and extracting details into organized tables. The tool is trusted by researchers at various institutions, including government agencies, Google, Stanford, the World Bank, and NASA. Pricing plans range from a free basic plan to paid plans offering increased functionality, such as unlimited chat with more papers and increased PDF upload limits.
• view sources for every answer
• orient with a quick summary
• upload your own pdfs
• find themes and concepts across many papers
• extract details from papers into an organized table
• select relevant papers and search for more like them
• get one sentence abstract summaries
• search for research papers
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.
A good rule of thumb is to assume that around 90% of the information you see in Elicit is accurate. While we do our best to increase accuracy without skyrocketing costs, 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.
When you upload papers to analyze in Elicit, those papers will remain private to you and will not be shared with anyone else.
Over 2 million researchers have used Elicit. Researchers commonly use Elicit to: Speed up literature review, Find papers they couldn’t find elsewhere, Automate systematic reviews and meta-analyses, Learn about a new domain. Elicit tends to work best for empirical domains that involve experiments and concrete results. This type of research is common in biomedicine and machine learning.
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.
You can email us at help@elicit.com or post in our Slack community!
• Unlimited search across more than 125 million papers
• Unlimited summaries of 4 papers at once
• Unlimited chat with 4 papers at once
• Extract data from 10 uploaded PDFs per month
• Add 2 columns to your tables at a time
• View sources for answers
• Import from Zotero
• Everything in Basic
• Unlimited chat with 8 full-text papers at once
• Unlimited summaries of 8 papers at once
• Export to RIS, CSV, BIB
• Extract data from 300 uploaded PDFs per year
• Add 5 columns to your tables at a time
• Everything in Plus
• Extract data from 1,200 uploaded PDFs per year
• Extract data from tables inside papers
• Dedicated workflows for systematic reviews
• Add 10 columns to your tables at a time
• Binary & multi-select fields for paper coding
• Explanations for AI-generated answers
Senior Software Engineer
Elicit is an AI tool that helps researchers analyze research papers faster by automating tasks like summarization, data extraction, and synthesis.
Benefits:
Improve science and good reasoning
Advance AI safety
High-agency, low-bureaucracy
Remote or hybrid SF
Work alongside LLM experts
Show more details
Front-end engineer
Elicit is an AI tool that helps researchers analyze research papers faster by automating tasks like summarization, data extraction, and synthesis.
Benefits:
Improve science and good reasoning
Advance AI safety
High-agency, low-bureaucracy
Remote or hybrid SF
Work alongside LLM experts
Show more details
ML engineer
Elicit is an AI tool that helps researchers analyze research papers faster by automating tasks like summarization, data extraction, and synthesis.
Benefits:
Improve science and good reasoning
Advance AI safety
High-agency, low-bureaucracy
Remote or hybrid SF
Work alongside LLM experts
Show more details
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