Elicit
Elicit is an AI research assistant designed for academic and scientific researchers, providing semantic search across 138 million academic papers and 545,000 clinical trials
Consensus is an AI-powered academic search engine that allows researchers to search and analyze over 200 million peer...
Consensus is an AI academic search engine that analyzes 200M+ peer-reviewed papers to deliver cited, synthesized answers instead of raw link lists. Its Deep Search automates literature reviews, a Consensus Meter visualizes evidence agreement on yes/no questions, and a Medical mode focuses on clinical guidelines and top journals. It offers a free tier plus Pro and Deep subscriptions, and is used across 170+ university libraries by students, researchers, and clinicians.
Consensus is an AI-powered academic search engine built to help researchers find and make sense of peer-reviewed literature quickly. Rather than returning a raw list of links, it searches across a corpus of more than 200 million research papers — including licensed full-text content from major publishers — and surfaces synthesized, cited answers grounded in the underlying studies. The platform's standout capability is Deep Search, which automates the early stages of a literature review. It builds a comprehensive search strategy, expands key terms, identifies conflicting arguments, and traverses the citation graph, condensing what might take days of manual reading into a few minutes. For clinical work, a dedicated Medical mode narrows results to high-quality sources such as clinical guidelines and articles from top medical journals. Several features are designed to keep the process fast without sacrificing rigor. The Consensus Meter gives a visual read on how much the evidence agrees or disagrees on a yes-or-no research question, while natural-language filters let users specify timeframes, populations, and study designs directly in a prompt. Every AI-generated summary is tied back to the peer-reviewed papers it draws from. Consensus is used by roughly 10 million researchers, students, and clinicians, and partners with more than 170 university libraries to provide institutional access. Pricing follows a freemium model: a free tier covers basic paper search plus a limited number of Pro messages and Deep reviews, with paid Pro and Deep plans unlocking unlimited AI-powered search and higher Deep review allowances. Students, faculty, and US healthcare professionals may qualify for a discount. Buyers should confirm current plan details and pricing on the official site.
Consensus is an AI-powered academic search engine that analyzes over 200 million peer-reviewed papers to deliver cited, synthesized answers and automate literature reviews via Deep Search. It is used by roughly 10 million researchers, students, and clinicians and partners with 170+ university libraries. It runs on a freemium model with free, Pro (~$10/mo), and Deep (~$45/mo) tiers plus team and enterprise options.
Consensus (operating as Consensus NLP Inc.) was founded by Christian Salem and Eric Olson to make peer-reviewed research faster and more accessible through AI. The company's mission centers on providing transparent, reliable, evidence-grounded research tools that save time without sacrificing academic rigor.
Consensus has grown into a widely adopted platform positioned as a new standard for academic research, partnering with leading publishers for licensed full-text content and with more than 170 university libraries for institutional access. Its reported footprint of around 10 million researchers, students, and clinicians reflects strong adoption across academic and clinical communities.
At its core, Consensus is a search and synthesis engine over a corpus of 200M+ peer-reviewed papers, including licensed full-text content from major publishers. Instead of returning raw links, it produces cited AI analysis grounded in the underlying research, keeping outputs verifiable.
Key capabilities include Deep Search, which automates literature reviews by building a search strategy, expanding key terms, identifying conflicting arguments, and exploring the citation graph. The Consensus Meter visualizes how much the evidence agrees or disagrees on yes/no research questions, natural-language filters let users specify populations, timeframes, and study designs inline, and Medical mode narrows results to clinical guidelines and top medical journals for trusted clinical answers.
Usage is metered through Pro messages and Deep reviews, with allowances scaling by plan. Team and enterprise tiers add API access, team management, and custom integrations for organizations that want to embed Consensus into their workflows.
Consensus serves academic and clinical research audiences: graduate and doctoral students, faculty and academic researchers, clinicians and healthcare professionals, university libraries, and research organizations. Its institutional partnerships target universities, while its enterprise tier targets research-driven organizations needing scalable literature discovery and workflow integration.
Students, PhD candidates, academic researchers, and clinicians who need to find, screen, and synthesize peer-reviewed evidence quickly. They value cited, trustworthy answers and tools that speed up literature reviews without compromising rigor.
Individual researchers subscribing to Pro or Deep plans, plus university library administrators and research-organization leaders procuring institutional or enterprise access. Buyers weigh coverage depth, evidence reliability, per-user cost, and Deep review allowances.
Faculty advisors, principal investigators, librarians, and department heads who recommend research tools to students and staff. Their endorsement drives institutional adoption across labs and programs.
A research-intensive university or clinical organization whose students, faculty, and practitioners regularly conduct literature reviews and evidence-based inquiry, and that values verifiable, citation-grounded AI over general-purpose chatbots.
Consensus has raised about $48.9 million across six rounds. Its $11.5 million Series A was led by Union Square Ventures, with investors including Nat Friedman, Daniel Gross, and Draper Associates. Founded in 2021 by Christian Salem and Eric Olson, the company employs roughly 50 people. (Earlier third-party figures citing about $1M ARR / $3M valuation, or investors such as Sumeru or Frazier, were inaccurate.)
Consensus offers a free tier that includes basic paper search, a limited number of Pro messages, and a small monthly allowance of Deep reviews. The Pro plan (around $10/month, billed annually) unlocks unlimited Pro messages and 15 Deep reviews per month, while the Deep plan (around $45/month annually) raises that to 200 Deep reviews. Verify current pricing on the official site, as plans and limits can change.
You enter a research question in natural language, and Consensus searches its corpus of peer-reviewed papers to return cited, synthesized answers rather than a plain list of links. For deeper work, Deep Search builds a full search strategy and reviews many studies at once, while the Consensus Meter shows evidence agreement on yes/no questions. You can also apply filters like study design, population, and timeframe directly within your prompt.
Yes. Students and faculty with a valid school email, and US healthcare professionals with a valid NPI number, can qualify for up to 40% off a subscription. In addition, more than 170 university libraries partner with Consensus to provide access to their students and staff, so affiliated users should check whether their institution already covers it.
Medical mode restricts results to the highest-quality clinical sources, drawing on tens of thousands of clinical guidelines and millions of articles from top medical journals. It is designed for clinicians and clinical researchers who need trusted, evidence-based answers to questions like treatment contraindications or guideline-based management. It trades broad coverage for higher clinical reliability.
Consensus grounds its AI analysis in peer-reviewed literature and ties every summary to specific cited sources, which makes claims verifiable and reduces the risk of fabricated citations. Its licensed full-text partnerships with leading publishers strengthen the depth of the evidence base. Even so, synthesized answers should be treated as a research aid, and important conclusions should be confirmed against the original papers.
Consensus provides team and enterprise offerings for research organizations, which include options such as API access, team management, and custom integrations under volume-based, negotiated pricing. This makes it possible to embed Consensus search into existing organizational workflows. Contact the Consensus team directly for enterprise terms and availability.
Yes, Consensus offers a free tier that provides access to essential search functionalities, allowing users to explore and search the platform. However, advanced features like unlimited Pro Searches and Deep Search (limited to 15 per month) require upgrading to the paid Pro plan.
Consensus offers a browser extension that integrates directly with Google Scholar and PubMed, bringing citation badges and search results into these platforms. The research did not mention other specific integrations — check the official website for a complete list.
Compared to alternatives like Elicit (which uses Semantic Scholar integration) and Scite (which specializes in citation validation with Smart Citations), Consensus focuses on AI-powered search across 250M+ papers with Deep Search automation. Scite is noted as complementary for researchers who want citation validation, while Elicit may be stronger for complex datasets. Consensus is distinguished by its institutional partnerships with 170+ university libraries.
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