Consensus
AI research search engine
An AI search engine over peer-reviewed research. It uses large language models and purpose-built vector search to answer natural-language questions with evidence drawn from academic papers, presenting insights at both the topic and the individual-paper level.
- Natural-language questions instead of exact keyword matching
- Corpus of over 200 million peer-reviewed research papers
- Evidence-agreement score attached to each claim (Consensus Meter)
- Plain-language summaries of study findings
- Topic-level and paper-level insights
- Ad-free subscription model with a free tier
Built for
Researchers, academics, clinicians and students doing evidence-based literature review, plus health-conscious general consumers researching scientific questions