Consensus
Free plan available; premium plan starts at ~$19.99/month (billed annually); teams plans with custom pricing.
Regulatory Status Disclosed
Overview
Consensus is an AI-powered search engine designed to extract and synthesize findings directly from scientific research papers. It aims to provide evidence-based answers to research questions by analyzing academic literature.
- What it does: Consensus utilizes artificial intelligence to read and understand scientific articles, identify key findings, and summarize them to answer specific user queries. It can quantify findings (e.g., “How many studies support X?”) and identify trends or disagreements across multiple studies.
- Who it is for: This tool is primarily for researchers, academics, and clinicians who need to quickly find and synthesize evidence from a large body of scientific literature. It is applicable across various medical specialties and research settings where evidence synthesis is critical.
- How it fits a clinical or practice workflow: Consensus can support evidence-based medicine by accelerating literature reviews for clinical guidelines, informing treatment decisions, or preparing for academic discussions. Physicians can use it to quickly get an overview of the research landscape on a specific topic, drug, or intervention without manually sifting through numerous papers.
- Notable capabilities: Key features include the ability to generate instant summaries of research findings, identify consensus or divergence among studies, and filter results by study type (e.g., meta-analysis, randomized controlled trial). It focuses on direct evidence extraction rather than general web search results.
Reviewed by Pouyan Golshani, MD — Interventional Radiologist
Key Features
- AI-powered Research
- Access to Scientific Sources
- Corpus Management
- Deep Filtering Capabilities
Use Cases
- Literature Review
- Evidence-Based Practice Support
- Staying Updated with Medical Research
- Synthesizing Research Findings
What Physicians Need to Know
Clinical Trial Matching
While not a direct patient-to-trial matching platform, Consensus.app aids in clinical research by enabling users to search and synthesize peer-reviewed literature, including clinical guidelines and medical articles. It offers a 'Medical mode' to narrow results to high-quality medical sources and allows filtering by study design (e.g., RCTs) and population, which can help clinicians and researchers identify relevant trials and evidence for specific patient profiles.
Literature Mining
This is a core strength of Consensus.app. It is an AI-powered academic search engine that searches over 220 million peer-reviewed papers, including full-text content from publisher partnerships. It uses AI-powered semantic and keyword search to find, summarize, and synthesize research, turning extensive literature reviews into minutes. Features like 'Deep Search' and 'Pro Analysis' provide comprehensive, cited summaries and identify agreement or disagreement in the literature.
Target Identification
Consensus.app can assist in target identification by enabling researchers to efficiently explore and synthesize vast amounts of scientific literature related to disease mechanisms, pathways, and potential therapeutic targets. Its ability to identify research gaps and summarize existing evidence can highlight promising areas for drug discovery and development.
Safety Signal Detection
Consensus.app can support safety signal detection by providing rapid access to and synthesis of peer-reviewed literature on adverse drug reactions and pharmacovigilance. It helps users stay updated on published safety findings and understand the consensus or conflicts in research regarding drug safety, although it does not perform real-time signal detection from raw patient data.
Collaboration Features
Consensus.app offers 'Consensus Teams' for collaborative research, allowing groups to work together more efficiently. Users can save papers, organize them into lists, and share searches and results. This facilitates team-based literature reviews and knowledge sharing.
Publication Support
Consensus.app is designed to streamline the publication process by accelerating literature reviews, which are fundamental to academic writing. It generates instant, cited summaries, helps identify research gaps, and can assist in structuring literature reviews. It also supports exporting paper details into CSV or RIS formats for integration with citation managers like Zotero and Endnote, and can generate citations in various formats.
Physician Tip
Physicians can leverage Consensus.app's 'Medical mode' to quickly access high-quality, peer-reviewed medical literature and clinical guidelines, aiding in evidence-based clinical decision-making. Use natural language queries to get structured insights with linked citations, helping to understand the consensus or conflicts in medical research. Its mobile accessibility makes it a valuable tool for rapid information retrieval at the point of care, keeping clinicians updated on new studies and treatment approaches without information overload.
Consensus.app integrates with popular citation managers such as Zotero and Endnote, allowing users to export paper details in CSV or RIS formats for seamless reference management. It also provides an API service for integration into enterprise applications and can be used with AI assistants like ChatGPT and Claude to build custom research workflows, extending its capabilities beyond its native interface.
Details
| Category | Drug Discovery & Research, General Productivity (AI Assistants), Medical Education & Training |
| Pricing |
Free plan available; premium plan starts at ~$19.99/month (billed annually); teams plans with custom pricing.
|
| Free Trial | Unknown |
| Deployment | Cloud |
| API Available | Unknown |
| Data Export | Unknown |
| Languages | English |
| Training | Unknown |
| Target Size | Individuals, academic institutions, research teams, healthcare professionals, students |
| Compliance | |
| BAA Available | Unknown AI-estimated |
| HIPAA Compliant | No AI-estimated |
| FDA Status |
Not applicable AI-estimated Not applicable; Consensus is an AI-powered research search engine, not a medical device or tool that directly impacts patient care or diagnostics. |
| Integrations | |
| EHR | Not specified |
| Specialties | Family Medicine, Internal Medicine, Oncology |
Social Proof
| Customers | unknown |
| Notable | unknown |
Support & Reliability
| Training Provided | Unknown |
What the Web Says
Consensus (consensus.app) is an AI-powered academic search engine designed to quickly synthesize information from peer-reviewed research. It helps users, including physicians and researchers, to understand what the current literature says about a specific question, speeding up the research process. The platform is also used as a demo automation tool for B2B software companies, allowing buyers to self-navigate interactive video demos and providing sellers with engagement analytics.
Overall: PositiveStrengths
- Efficiently summarizes peer-reviewed research and provides evidence-based answers with citations.
- Saves significant time in conducting literature reviews and finding relevant papers.
- User-friendly interface and easy to use for creating and sending tailored demos.
- Provides valuable analytics on customer engagement with demo content.
- Offers customization options for demo content and supports multilingual video demos.
- Excellent customer support, consistently flagged as responsive in user reviews.
Limitations
- Some users on Reddit have reported instances of the AI hallucinating or being inaccurate in paper summaries.
- The content library can become disorganized at scale due to weak folder and tagging structures.
- Creating demo boards per prospect can be time-consuming due to a lack of batch or template shortcuts.
- Internal video preview requires multiple navigation steps.
- The pricing for the demo automation platform can be expensive, with no free trial and high annual costs for businesses.
- Some usability issues have been noted, such as inefficient clicks and limited search functionality in certain areas.
Based on reviews from: Decisions and Revisions, Hack'celeration, G2, Capterra, Reddit, Trustpilot, Unite.AI, PubMed, Product Hunt, Academic Help, YouTube, The Effortless Academic, Digital Software Labs, Consensus.app
Last updated: 2026-08-22
Ratings & Reviews
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Press & Coverage
Signalbase
Consensus Raises $30.0M to Advance
Consensus, an AI-powered search engine for scientific research, secured $30.0M in new funding to expand its global footprint and reach millions of users, with plans to move beyond search towards an 'AI OS for researchers'.
2026-05
Owkin
Owkin Announces Partnership with Consensus to Strengthen Literature Intelligence for Owkin's AI Scientist, K Pro
Owkin, an AI company focused on biological artificial superintelligence, partnered with Consensus to integrate enhanced scientific literature intelligence into Owkin's AI Scientist for Biology, K Pro, aiming to accelerate research workflows and ensure insights are grounded in full-text scientific articles.
2026-03
Decisions and Revisions
An AI Tool For Reviewing Research Literature: Consensus.app
This article reviews Consensus.app as an AI-powered academic search engine that helps researchers quickly understand peer-reviewed literature by synthesizing findings and indicating agreement or disagreement on a topic, significantly speeding up the literature review process.
2026-01
Consensus: AI Search Engine for Research
American Chemical Society Partners with Consensus to Bring Trusted Research into the AI Era
Consensus announced a partnership with the American Chemical Society (ACS) to access the full-text content of its paywalled journals, aiming to provide more precise search results and contextually-accurate AI-generated previews from authoritative peer-reviewed literature.
2025-11
Consensus: AI Search Engine for Research
Introducing: Medical Mode
Consensus introduced 'Medical Mode,' a feature that narrows searches to exclusively trusted medical literature, including approximately 8 million papers and 50,000 clinical guidelines from the top 1,000 medical journals, to provide clinicians with high-quality, reliable information.
2025-10
PMC (PubMed Central)
The Use of Generative Artificial Intelligence (AI) in Academic Research: A Review of the Consensus App - PMC
This peer-reviewed article evaluates the Consensus App's potential to transform academic research by offering insights at both topic and paper levels, while also discussing ethical implications and reasons for its underrepresentation in academic literature.
2025-07
Consensus: AI Search Engine for Research
Announcing Our $11.5M Series A Fundraise
Consensus announced an $11.5M Series A funding round led by Union Square Ventures to accelerate its mission of making expert knowledge accessible, expanding its team, and enhancing its scientific search engine.
2024-07
Consensus: AI Search Engine for Research
Consensus Product & Feature Updates
Consensus released several product updates, including the ability to export RIS files for reference managers, support for over 100 languages, integration of Semantic Scholar's Influential Citations, Consensus Teams for organizations, and Consensus GPT.
2024-04
Videos
Product demos, reviews, and walkthroughs for Consensus.
Consensus AI Step-By-Step: The Fastest Way To Do Evidence-Based Research
Andy Stapleton
How to get the best search results in Consensus
Consensus
ud83dudd35 Consensus Vs Compromise Meaning Compromise or Consensus Examples Consensus and Compromise Defined
iswearenglish
How To Use Consensus AI - Donu2019t Get Left Behind!
Andy Stapleton
Find research papers faster with Consensus
Consensus
How To Write a Literature Review Using Consensus AI (With Threads + Consensus Meter)
Dr Amina Yonis
Frequently Asked Questions
Consensus is an AI-powered academic search engine designed to streamline literature reviews by searching and synthesizing information from over 220 million peer-reviewed papers. For physicians in drug discovery, it can quickly provide evidence-based answers to research questions, identify relevant studies, and summarize findings, accelerating the initial phases of research.
Consensus prioritizes reliability by exclusively searching peer-reviewed literature and linking every answer directly back to its source papers, allowing physicians to verify the original studies. It employs guardrails such as 'search before synthesis' and 'summarization, not speculation' to ensure all citations are real and summaries are strictly based on retrieved content, not external speculation.
While powerful, Consensus has limitations; it does not have access to all research and its AI models may struggle with entirely new molecules or novel binding mechanisms in drug design. Additionally, AI analyses can be misleading due to data biases, overlap in datasets, or a lack of chemical insight, potentially affecting generalizability in prospective research.
Yes, several alternative AI research assistants exist, each with unique strengths. Elicit is noted for literature discovery and structured data extraction, while Scite focuses on citation context and systematic reviews. Other tools like Semantic Scholar and Paperguide also offer advanced search and summarization features for academic research.
Consensus offers a free tier with limited access to features like Pro Analyses and Study Snapshots, suitable for casual research. For more extensive use, premium plans are available, including a Premium plan at $8.99/month and a Pro plan at $15/month, with a Teams plan also offered for research groups.
Consensus is designed to protect user data; it does not train its AI models on user-provided information or search queries, and search data remains private and anonymized. The platform emphasizes that it is a search engine, not a general-purpose chatbot, ensuring that user interactions do not contribute to model improvement or third-party sharing.
Yes, a key feature of Consensus is its ability to highlight where evidence aligns and where it conflicts, particularly with its 'Consensus Meter' for yes/no research questions. This allows physicians to quickly gauge the level of agreement across the literature and understand the strength of evidence on a particular topic.
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| Last Verified: 2026-07-03 | First Added: 2026-05-24