The researchers who most need statistical power are often the least served by programming-first tools. Conversational analysis closes that gap without hiding the rigor.
What plain language gets you
CATO is an AI data analysis and literature review tool for biomedical researchers, built by NYRUS AI. You describe the question; CATO profiles the data, chooses and executes appropriate methods, and returns figures and tables with the code and assumptions attached. If the request is ambiguous, it asks clarifying questions before running anything, and you can review its plan first.
Where judgment stays human
- Deciding what question is worth asking.
- Approving the analysis plan and inclusion criteria.
- Interpreting results in scientific context.
- Signing off before publication or submission.
A fair expectation
Treat conversational AI analysis the way you would treat a skilled collaborator: fast, tireless, and transparent, but reviewed. The tools that expose their code make that review possible. You can try CATO at cato.nyrus.ai, or learn more at nyrus.ai/cato.