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We make it easy for you to view the original source and point to where in a paper specific information came from. Use AI to search, summarize, extract data from, and chat with over 125 million papers. Used by over 2 million researchers in academia and industry.
Generative AI for systematic reviews & meta-analyses. Save time screening & extracting data with language models.
Save time finding clinical research supporting medical information requests. Used by 2 million researchers. Search 125 million papers across PubMed, Nature, and more
Join our small team to build an AI tool for science, already used by hundreds of thousands of researchers. Open positions: product designer, senior software engineer, front-end engineer, ML engineer, and more.
Mar 29, 2024 · Trust at scale: Auto-evaluation for high-stakes LLM accuracy. Elicit’s mission is to scale up good reasoning. Large language models (LLMs) are currently the most promising technology to achieve this goal, and we use them extensively to help our users search and analyze the scientific literature.
Save time extracting data about costs, disease burden, and other epidemiological details from clinical research. Used by 2 million researchers.
Find papers. Screen papers for inclusion. Systematically extract data from papers. Go through all of these steps rigorously for a high-quality meta-analysis, or just quickly find some papers to bolster the related work section of your paper.
Automate time-consuming research tasks like summarizing papers, extracting data, and synthesizing your findings.
Use AI to search, summarize, extract data from, and chat with over 125 million papers. Used by over 2 million researchers in academia and industry.
It is essential that an AI research assistant is accurate and trustworthy! Elicit is focused on reducing hallucinations and ensuring reliability. We u...
