Consensus is an AI-powered search engine that analyzes over 200 million research papers to provide precise insights and summaries for scientific inquiries. It enables researchers, clinicians, and students to quickly locate relevant studies and understand complex topics, significantly reducing the time spent on literature reviews.
Funding
$15.9M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Researchers, clinicians, and students often spend significant time sifting through vast amounts of scientific literature to find relevant information. Traditional search methods can be inefficient, making it difficult to quickly identify and understand key insights from research papers. This process can delay scientific discovery and evidence-based decision-making.
Solution
Consensus is an AI-powered search engine designed to accelerate scientific research by providing precise, AI-extracted insights from over 200 million research papers. It employs proprietary academic search tools and filters to help users quickly locate the most relevant and reliable studies. The platform leverages both OpenAI and custom Large Language Models (LLMs) to generate AI insights at both the search and paper level, including a Consensus Meter to visualize the degree of scientific agreement on a topic and Pro Analysis for topic synthesis. By extracting key information and answers directly from research papers, Consensus enables users to streamline literature reviews, understand complex topics, and make evidence-based decisions more efficiently.
Target Audience
The primary users are students, researchers, clinicians, science organizations, universities, writers, journalists, and health & fitness experts who require evidence-based insights from scientific literature.
Features
- Access to over 200 million research papers across all domains of science and academia.
- AI-powered Consensus Meter that shows the degree of scientific agreement on a topic.
- Pro Analysis feature for AI-driven topic synthesis, content drafting, and formatting.
- Paper-level insights that extract key findings and answers directly from research papers.
- Advanced search filters based on study design, sample size, methodology, and open access status.
- Quality indicators for citations, journal quality, and study type to highlight the most impactful papers.
- Study Snapshot feature displaying key information such as population, sample size, and methods directly within the results page.
- Ask Paper (beta) feature allowing users to ask clarifying questions about methodology and other details from full-text PDF papers.