AI-powered scientific literature intelligence — transforming how researchers find, evaluate, and synthesize evidence from the published literature.
From your question to a cited, evidence-based answer
Each database is built from thousands of peer-reviewed, open-access research papers collected from major biomedical repositories and carefully indexed for retrieval.
Your query is processed using advanced semantic search to find the most relevant evidence across the entire corpus. Results are precision-ranked to surface the strongest matches.
Retrieved evidence is synthesized into a clear, comprehensive answer with inline citations. Every claim is grounded in real published research — no hallucinated content.
Built for the needs of working researchers
32K research papers across 2 active scientific domains, with each corpus purpose-built for domain-specific retrieval and metadata enrichment.
Standard mode delivers evidence-based answers to your questions. Hypothesis mode evaluates your research hypothesis against the literature and delivers a structured assessment.
Every answer includes properly formatted citations with authors, journal, year, and DOI links — ready for inclusion in your manuscripts and presentations.
Each database includes rich metadata tags relevant to its field, so you can quickly filter and contextualize results by species, experimental model, tissue type, and more.
Start with 2 free queries per week, no account required.