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Consensus

Freemium

Science-based answers from peer-reviewed research.

An AI-powered academic search engine that finds, analyzes, and synthesizes answers directly from over 200 million peer-reviewed research papers.

academic searchpeer-reviewedliterature reviewscientific researchcitationsConsensus MeterPro AnalysisStudy SnapshotPubMedevidence-basedAI SearchAcademic WritingKnowledge SummarizationgenerationsummarizationIntelligent SearchWriting & Content
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What is it

Consensus is an AI-native search engine designed specifically for scientific and academic research. It searches a corpus of over 200 million peer-reviewed papers—spanning journal articles, conference papers, and preprints across all scientific domains—and uses language models to synthesize clear, cited answers grounded in real research rather than speculative content.

What it can do

Users ask questions in natural language, and Consensus retrieves the most relevant papers using a hybrid approach that combines semantic search (AI embeddings) with BM25 keyword matching. It then generates syntheses of findings, provides direct citations for every claim, and visualizes research agreement through the Consensus Meter. Advanced features include Pro Analysis for cross-paper synthesis, Ask Paper for deep single-paper analysis, and Study Snapshot for rapid paper summaries.

Who is it for

It is ideal for students conducting literature reviews, researchers exploring new fields, clinicians seeking evidence-based answers, health professionals evaluating treatments, and academics who need reliable, ad-free access to the latest peer-reviewed findings without sifting through traditional search engine results.

Key Features

Evidence-Based Answers – Peer-Reviewed Synthesis

Ask questions in plain English and receive answers synthesized from peer-reviewed scientific literature. Every response is grounded in real research papers with direct citations, ensuring that insights are traceable, credible, and free from the hallucinations common in general-purpose AI chatbots.

Hybrid Search Engine – Semantic + Keyword Retrieval

Consensus combines AI-powered semantic search with BM25 keyword matching to find the most relevant papers across its 200-million-document corpus. The hybrid approach captures both the intent behind natural language queries and precise keyword matches, then re-ranks results using research quality signals like citation count, recency, and journal impact.

Consensus Meter – Research Agreement Visualization

Understand the weight of scientific evidence at a glance with the Consensus Meter, which visualizes the degree of agreement among researchers on a specific claim. This feature helps you quickly identify well-supported findings versus contested or emerging topics, providing a data-driven foundation for evidence-based decisions.

Pro Analysis – Cross-Paper Synthesis

Generate comprehensive syntheses that analyze and compare findings across multiple papers. Pro Analysis identifies patterns, contradictions, and gaps in the literature, producing cohesive summaries that would otherwise require hours of manual reading—ideal for literature reviews, rapid reviews, and technical reports.

Use Cases

Conducting Literature Reviews with Cited Sources

Researchers and graduate students use Consensus to rapidly identify, summarize, and synthesize relevant papers for systematic and narrative literature reviews. The hybrid search and Pro Analysis features compress weeks of manual searching into hours, with every claim backed by traceable citations.

Finding Evidence-Based Answers to Clinical Questions

Clinicians and health professionals query Consensus for science-backed answers to patient care questions—such as treatment efficacy, drug interactions, or intervention outcomes. The Consensus Meter reveals whether a finding is well-established or still debated, supporting informed clinical decision-making.

Evaluating Research Consensus on Controversial Topics

Journalists, policy analysts, and educators use the Consensus Meter to gauge the degree of scientific agreement on contentious subjects like climate change, nutrition, or public health measures. This visualization cuts through media polarization by showing what the peer-reviewed literature actually says.

Writing Academic Reports and Research Summaries

Students and professionals use Pro Analysis and Study Snapshots to generate first drafts of literature reviews, rapid reviews, and technical reports. The structured syntheses provide a solid foundation that can be expanded with critical analysis and additional reading.

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