Elicit
by Elicit
AI research assistant for academic and scientific literature. Find, summarise, and analyse papers at scale.
Apps
Elicit
Added 17 May 2026
Overview
Elicit is an AI-powered research assistant built for scientists, academics, and evidence-driven professionals. It searches across millions of academic papers, extracts key claims, methodologies, and results, and presents them in structured, comparable formats. Beyond search, Elicit can extract data from papers into tables, summarise findings, and answer specific research questions by reasoning across the relevant literature — dramatically reducing the time spent reading and organising papers.
Best for
Best for
Researchers and analysts who need to navigate academic literature at scale
Use cases
- Find relevant academic papers by describing a research question rather than keywords
- Extract and compare key data points across dozens of papers in a structured table
- Summarise findings from a set of papers to identify trends and gaps
- Answer specific methodological or factual questions from the research literature
Notes
Why it matters
Academic research still runs on manual paper reading, which does not scale. Elicit is the leading example of using LLMs to change the fundamental unit of research consumption from ‘read a paper’ to ‘ask a question across the literature.‘
How teams use it in production
Start every literature review with an Elicit search to identify the key papers and extract their claims. Read full papers only for the most relevant results. Use the extraction tables to compare methodologies across studies side by side.
What to watch
Whether Elicit stays focused on academic research or expands into enterprise knowledge management. The same pattern of ‘extract structured answers from a corpus’ applies to legal documents, policy papers, and internal documentation.
Pros
- Structured extraction saves hours of manual paper reading and note-taking
- Covers millions of papers across scientific disciplines
- Comparable table views reveal patterns across studies instantly
- Clean interface focused on research workflow, not general chat
Cons
- Best for English-language publications; coverage gaps in some fields
- Deep methodological analysis still requires reading the original paper
- Free tier limited to a set number of extractions per month
Pairs with
Other entries in the index that connect to this one. Click through to see the chain.
quivr
Various
Opiniated RAG for integrating GenAI in your apps 🧠 Focus on your product rather than the RAG. Easy integration in existing products with customisation! Any LLM: GPT4, Groq, Llama.
Local Deep Research
Various
~95% on SimpleQA (e.g. Qwen3.6-27B on a 3090). Supports all local and cloud LLMs (llama.cpp, Ollama, Google, ...). 10+ search engines - arXiv, PubMed, your private documents. Every