Consensus is an AI-powered academic search engine built on a database of over 220 million peer-reviewed research papers. Unlike general AI tools, every response is tied back to a real research paper and is grounded in scientific research. It helps you quickly review the literature and understand complex topics faster.

Over 5 million researchers, students, and professionals around the world already trust Consensus to help with their research. It offers a faster, more helpful experience and replaces traditional tools like PubMed and Google Scholar.

Consensus includes AI features like Pro Analysis and Ask Paper, which make academic content more digestible by summarizing and synthesizing research findings. It also offers tools to enhance your literature review workflow, including advanced search filters and the ability to save/organize papers into lists.
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Consensus searches across a database of over 220 million peer-reviewed research papers.

Our paper data comes from trusted sources, including:

Consensus covers all domains and fields of science - from Astronomy to Sociology to Biochemistry! We include papers from most major academic journals, including all of PubMed. The database is updated weekly, as we are always working to expand our coverage and include the latest research.

We run a custom fine-tuned language model over our entire corpus of research papers and extract the Key Takeaway from every paper. We then remove things like ‘what’, ‘is’, and ‘are’ from the query and run a combination of keyword search + Vector search over the abstract and title of all our papers. This gives us a very intelligent measure of the relevance of a research paper to your query.

This relevance score is then combined with many other pieces of metadata including but not limited to citation count, velocity of citations, study design, and publish date to re-rank the results and produce a top 10 possible results to surface.

When you input a question or a phrase (i.e. the benefits of mindfulness), we then run a custom fine-tuned language model that generates a question-relevant conclusion based on the user query and the abstract of the given paper. For every other type of search, we use the Key Takeaway that we extracted already.

This is the final order in which the research paper results appear on the results page. With this new list of 10 results (either the generated conclusion or the Key Takeaway), we run a final custom fine-tuned language model built for question and answering that ranks the results according to how well they address the user’s query.

🧠 Pro Analysis: Summaries key findings from the top papers in your search and provides a high level synthesis with citations.

📂 Save Lists: Organize and save papers into custom lists so you can easily revisit and manage your research.

📊 Consensus Meter: Uses AI to analyze and visualize the level of agreement or disagreement in the literature in response to yes-or-no questions.

🔍 Advanced Search Filters: Refine your search using AI-powered filters to surface more relevant and tailored results.

💬 Ask Paper: Chat directly with the full text of a paper to receive in-depth answers about its methods, findings, and more.

The Consensus team! Read more about who’s on the team here. Christian Salem and Eric Olson are the Co-founders of Consensus.

The Consensus mission is to make the world’s best information accessible to everyone.

Find the best science, faster, with Consensus.

Is there any information we missed? Email us with your feedback!