Consensus is an AI-powered search engine for research that answers questions with evidence from peer-reviewed papers. It extracts key findings, quantifies agreement, and links claims to their sources so you can verify context. Filters focus on recent or high-quality journals, and saved queries track new results. Summaries translate technical language into plain English while preserving nuance and citations. Researchers, clinicians, and analysts get faster orientation without wading through dozens of unrelated links.
Ask a question and Consensus finds relevant studies, extracts claims, and synthesizes findings with citations. Summaries indicate strength of evidence and typical sample sizes so you can judge reliability. Contradictory results are noted to avoid false certainty. Clickable references return you to abstracts or full texts when deeper reading is needed for methods and limits. This speeds literature scans while keeping source verification one click away.
The engine quantifies agreement across papers to show whether findings align or remain mixed. You can view how opinions shift as new studies appear and filter by year to isolate current consensus. Topic views reveal sub-themes and related questions that warrant exploration. These signals help prioritize which areas deserve closer review or additional data collection. Trend context reduces the risk of cherry-picking single studies with outlier results.
Narrow by domain, journal tier, recency, trial type, or population to match your use case. Quality signals and inclusion criteria help avoid predatory venues. You can exclude reviews when you need primary data or focus on meta-analyses for broader patterns. Saved filters keep recurring workflows one click away for recurring briefs and updates. Preset views for common workflows keep scoping fast for recurring briefs.
Every claim links to its source with easy export to citation managers. You can copy structured summaries into notes or slides with tracked references. Sharable views keep teams aligned on which papers support a decision. Exports include bibliographic details to speed manuscript and policy drafting. Standard formats simplify collaboration with coauthors and reviewers. Shared folders keep key materials accessible during reviews.
Create reading lists, set alerts for new publications, and comment on findings. Colleagues can tag questions and split review tasks by method or population. Activity feeds show who added which paper and why. Admin controls manage access across labs, clinics, or departments with audit-friendly logs. Lightweight coordination keeps reviews moving without heavy project software. Notes travel with papers so decisions stay transparent later.
Recommended for scientists, policy analysts, clinicians, and product teams who need fast, reliable answers grounded in literature. Consensus shortens the path from question to evidence by extracting claims, quantifying agreement, and linking to sources. Teams can share views, track updates, and keep citations intact as drafts evolve. The result is clearer decisions and fewer hours lost chasing links across search pages. Evidence summaries remain defensible because they are tied to specific studies, not generic web pages.
Traditional web search buries research under SEO noise and makes it hard to judge credibility. Consensus centers peer-reviewed sources, surfaces agreement levels, and keeps citations attached to claims. Filters and alerts remove manual busywork from ongoing reviews. Organizations move faster from hypothesis to brief, while staying aligned on what the literature actually supports. This reduces rework and improves confidence in decisions that affect patients, customers, or policy.
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