Consensus

Consensus is an AI-powered academic search engine designed to extract and synthesize findings directly from peer-reviewed scientific research. Accessing a database of over 200 million research papers, the tool identifies relevant studies and summarizes their key findings. Rather than serving a list of links, Consensus provides evidence-backed answers accompanied by explicit citations.

At the core of the platform is AI synthesis, which measures scientific agreement on specific topics. The Consensus Meter feature analyzes dozens of pertinent papers to visualize the percentage that support, refute, or remain neutral regarding a research question. An integrated Copilot generates narrative overviews and highlights critical metadata such as study design and sample size.

The service is tailored for researchers, students, medical professionals, and science journalists who need fast, reliable insights from academic literature. Users can apply filters based on citation counts, study design, and journal impact to zero in on high-quality evidence. Direct links to original paper repos ensure complete source transparency at every step.

• Consensus Meter — Analyzes the spectrum of research outcomes for yes/no questions and visualizes the proportion of agreeing, disagreeing, and neutral studies.
• Synthesis & AI Copilot — Generates automated summaries across multiple papers simultaneously and answers specific follow-up questions using retrieved academic literature.
• Academic Filters — Enables precise filtering of search results by study design, sample size, methodology, and journal quality metrics.

Designed for researchers, university students, medical staff, journalists, and policy analysts who regularly digest academic literature. It benefits anyone seeking grounded, evidence-based answers without spending hours reading individual abstracts.

A health journalist needs to investigate whether regular coffee consumption reduces cardiovascular disease risk. She enters the query into Consensus, which instantly retrieves dozens of meta-analyses and clinical trials. The Consensus Meter displays the prevailing scientific sentiment at a glance, while the Copilot drafts a clear summary highlighting key study sample sizes. Within minutes, cited facts complete with direct links to PubMed papers are ready for publication.

• Designed for researchers, university students, medical staff, journalists, and policy analysts who regularly digest academic literature. It benefits anyone seeking grounded, evidence-based answers without spending hours reading individual abstracts.
• A health journalist needs to investigate whether regular coffee consumption reduces cardiovascular disease risk.
• Consensus Meter: Analyzes the spectrum of research outcomes for yes/no questions and visualizes the proportion of agreeing, disagreeing, and neutral studies.
• Synthesis & AI Copilot: Generates automated summaries across multiple papers simultaneously and answers specific follow-up questions using retrieved academic literature.
• Academic Filters: Enables precise filtering of search results by study design, sample size, methodology, and journal quality metrics.

Consensus is not suited for general web search, creative text generation, or real-time news retrieval, as it relies strictly on peer-reviewed papers. If your question falls outside scientific research or involves private internal documents, standard general-purpose AI assistants are more appropriate.

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