CATO is an AI data analysis and literature review tool for biomedical researchers, built by NYRUS AI.
The workflow in four steps
- Profile: CATO reads columns, data types, missingness, and sample rows before deciding what to run.
- Analyze: it selects tests, models, and figures based on your question, the dataset, and biomedical context, then executes them in a sandboxed Python and R environment.
- Audit: every result lists test choices, assumptions, thresholds, and the code used to produce it.
- Export: figures, tables, and narrative outputs save to Word, PowerPoint, Excel, CSV, PNG, SVG, and PDF.
What makes it research-grade
Real execution rather than generated snippets, citations pulled from PubMed and other primary databases, 50+ supported data formats, and transparent code behind every figure. Analyses run in minutes instead of weeks.
Who uses it
Academic researchers, physicians, biotech and pharma R&D teams, clinical trials groups, core facilities, and bioinformatics teams. CATO is used by researchers in institutions including The Ohio State University, Nationwide Children's Hospital, Mount Sinai, and Texas A&M.
You can try CATO at cato.nyrus.ai, or learn more at nyrus.ai/cato.