Consensus
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About
Consensus is an AI-powered search engine designed specifically for the academic and scientific community. It provides users with direct access to over 200 million peer-reviewed research papers, including licensed full-text content from major publishers. Unlike general-purpose search engines that might surface opinion or unverified blogs, Consensus focuses exclusively on scientific literature to ensure academic rigor. The platform uses advanced natural language processing to understand complex research queries and extract relevant insights, making high-level scientific knowledge more accessible to a broader audience. The tool includes several specialized features such as Deep Search, which automates the literature review process by building comprehensive search strategies, expanding key terms, and exploring citation graphs. For medical professionals, the Medical Mode filters results to include approximately 50,000 clinical guidelines and 8 million articles from top-tier journals. Another standout feature is the Consensus Meter, which analyzes yes-or-no research questions and provides a visual representation of the current scientific agreement or disagreement on a topic based on the available literature. Consensus is ideally suited for university students, faculty, and clinicians who need to conduct thorough literature reviews or find evidence-based answers quickly. It is currently utilized by over 170 university libraries and millions of individual researchers worldwide. The platform's ability to handle natural language filters allows users to specify study populations, timeframes, and research designs directly within their prompts, significantly reducing the manual effort typically required to sift through academic databases. What distinguishes Consensus from traditional databases like PubMed or Google Scholar is its synthesis layer. While other platforms return a list of links, Consensus actively summarizes findings and evaluates the strength of evidence across multiple sources. By bridging the gap between raw data and understandable insights, it empowers citizen scientists and veteran researchers alike to bypass the noise of the internet and rely on peer-reviewed evidence for decision-making and academic writing.
Pros & Cons
Accesses a vast database of over 200 million peer-reviewed documents.
Uses the Consensus Meter to provide an instant visual summary of scientific agreement.
Allows for natural language filtering of study populations and sample sizes.
Deep Search identifies conflicting evidence and citation relationships automatically.
Includes specialized filters for clinical guidelines and high-impact medical journals.
The Consensus Meter is primarily effective for clear yes-or-no research questions.
Advanced Deep Search features require a Pro subscription for full access.
Synthesis of results depends on the availability of licensed full-text content.
Use Cases
University students can use the platform to conduct literature reviews for theses by automating the identification of conflicting arguments and key citations.
Clinicians can utilize Medical Mode to quickly find evidence-based answers and clinical guidelines from top-tier medical journals.
Research organizations can implement the tool to give their teams a faster way to synthesize large volumes of academic literature without losing rigor.
Science journalists can use the Consensus Meter to verify the current scientific consensus on health or environmental topics before publishing.
Platform
Task
Features
• evidence synthesis and summarization
• licensed full-text content access
• citation graph exploration
• natural language search filters
• medical mode clinical filtering
• deep search literature review automation
• consensus meter agreement visualization
• 200m+ peer-reviewed research papers
FAQs
How many research papers are included in the Consensus database?
Consensus draws from a massive database of over 200 million peer-reviewed research papers. This includes licensed full-text content from leading publishers, ensuring a wide range of academic disciplines are covered.
What is the Consensus Meter and how does it work?
The Consensus Meter is a visual tool that appears when you ask a clear yes-or-no research question. It analyzes retrieved papers to show the percentage of evidence that agrees, disagrees, or remains neutral on the topic.
Can I filter my search results by specific criteria like study size?
Yes, you can use natural language to apply filters. For example, you can search for large human studies with a sample size greater than 1,000 or specify a timeframe directly in your search prompt.
Is there a specific mode for medical or clinical research?
The tool offers a Medical Mode that narrows results to 50,000 clinical guidelines and 8 million articles from the top 1,000 medical journals. This is designed for clinicians seeking trusted, high-quality clinical answers.
How does the Deep Search feature assist with literature reviews?
Deep Search automates the process by building a search strategy that expands key terms and identifies conflicting arguments. It also explores the citation graph to help you find related papers that might be missed in a standard search.
Pricing Plans
Pro
Unknown Price• Deep Search literature review
• Consensus Meter
• Natural language filters
• Medical Mode access
Job Opportunities
Full Stack Engineer
Find evidence-based answers across 200M+ peer-reviewed papers with an AI search engine that synthesizes academic research for students and professionals.
Benefits:
Medical insurance
Vision insurance
Dental insurance
401(k)
Paid paternity leave
Experience Requirements:
4+ years of full-stack engineering experience
Deep experience with Next.js, TypeScript, FastAPI, Python, Postgres, and common SaaS tools
Other Requirements:
Track record of high-velocity delivery and ownership
Interest in science, research, education
Responsibilities:
Ship end-to-end improvements like RAG/search features
Identify issues, fix bugs, and iterate quickly
Keep the codebase clean, reliable, and scalable
Show more details
Platform Engineer
Find evidence-based answers across 200M+ peer-reviewed papers with an AI search engine that synthesizes academic research for students and professionals.
Benefits:
Medical insurance
Vision insurance
Dental insurance
401(k)
Paid maternity leave
Experience Requirements:
5+ years building and operating high-throughput cloud infrastructure
Deep experience with Kubernetes, Terraform, Docker, and modern CI/CD
Strong background in monitoring, alerting, load testing, and cloud security
Other Requirements:
Comfort debugging backend systems (Python, FastAPI, Postgres, Redis)
Interest in science, research, and LLM-powered products
Responsibilities:
Own and evolve cloud platform (Kubernetes, Terraform, GCP)
Build and maintain observability, deployment, and incident response systems
Debug and optimize backend and infrastructure performance
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Growth Engineer
Find evidence-based answers across 200M+ peer-reviewed papers with an AI search engine that synthesizes academic research for students and professionals.
Benefits:
Medical insurance
Vision insurance
Dental insurance
401(k)
Paid maternity leave
Experience Requirements:
4+ years of full-stack engineering experience
Deep experience with Next.js, TypeScript, FastAPI, Python, Postgres
Familiarity with MixPanel, StatSig
Other Requirements:
Track record of high-velocity experimentation
Interest in science, research, education
Responsibilities:
Ship growth-focused features and experiments
Own the full loop: build features, instrument funnels, run A/B tests
Contribute to general full stack web app development
Show more details
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