“Using Elicit, we recently conducted a ‘rapid literature review’ investigating 40 research questions across almost 500 papers. In the past, we would never have been able to conduct a rapid literature review of that scale. This technology allows us to offer clients deeper insights across larger evidence bases than ever
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How we evaluated Elicit Systematic Review
Last month, we introduced Elicit Systematic Review, a new AI workflow that allows researchers to find papers, screen titles and abstracts, and extract data from full-text papers in 80% less time, without compromising accuracy.
Through internal and external evaluations, we find that Elicit Systematic Review provides screening and extraction accuracy
How we evaluated Elicit Reports
We recently announced Elicit Reports: fully-automated research overviews for actual researchers, inspired by systematic reviews.
Through external evaluation by researcher specialists, we find that Elicit Reports produce higher quality research overviews and save more time than the other “deep research” tools, including well-known ones like ChatGPT Deep Research, Perplexity Deep
Elicit Raises $22M to Build the Most Trusted AI Platform for Evidence-Backed Decisions
Elicit has raised $22M in Series A funding at a $100M valuation led by Spark Capital and Footwork. Existing investors Fifty Years, Basis Set, and Mythos also participated, reinforcing their conviction in our mission to deploy AI to radically increase good reasoning in the world.
Today, Elicit is used by
Introducing Elicit Reports
Today we're excited to introduce Elicit Reports: fully-automated research overviews for actual researchers, inspired by systematic reviews.
Elicit Reports rigorously summarize research by building on the systematic review process, the gold standard for synthesizing scientific literature. They conduct a fully-automated rapid review (search, screening, data extraction) using the
Introducing Elicit Systematic Review
Today, we announce Elicit Systematic Review, a workflow that guides you step by step through search, title & abstract screening and full-text data extraction.
Systematic reviews are the gold standard for summarizing scientific literature. These reviews start with up to 20,000 papers that are winnowed down in multiple stages
Case Study: VDI/VDE
With Elicit, we can produce a very high quality review for clients in a couple of months. That’s a valuable selling point.” Veit Wasserfuhr, Consultant, VDI/VDE-IT
VDI/VDE Innovation + Technik GmbH is a German consulting firm that advises governments and the private sector on innovation and technology. In
Against RL: The Case for System 2 Learning
People are excited about Deepseek R1 (and O1 and O3). It seems like RL might finally be starting to actually work for LLMs, not just the weak approximation that is RLHF.
But for building safe superintelligent systems, RL is at best an intermediate step, and at worst an incredibly unsafe
Case Study: MicroGenDX
“Elicit is a step above other tools I've tried. I prefer Elicit when it comes to actually interpreting evidence. It doesn't make things up like ChatGPT.” - James Compagno, Director of Marketing
MicroGenDX is a clinical laboratory that offers microbial diagnostic tests via next-generation DNA sequencing
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.
But LLMs are known for their unreliability: they often misunderstand instructions, fail