Biomedical data analysis by conversation
Ask your data anything*
Upload a dataset, ask a research question, and get back figures, statistical tables, citations, and the exact code behind every result, in a few minutes.
Upload, ask, and get reviewer-ready results.
Used by researchers in
Researchers spend weeks, even months, analyzing data across iteration after iteration, only to lose still more time to confusing reviewer comments.
Most tools are expensive, demand complex coding and a steep learning curve, and slow the pace of scientific inquiry. We need to advance civilization faster.
CATO fixes this.
Analysis workflow
Built to handle biomedical complexity.
Runs the code
Writes custom code from your data, industry standards, and domain, then runs it in a real sandbox.
Checks the work
Assumptions, tests, and missing-data choices stay visible.
Keeps citations close
Draws context only from peer-reviewed databases, straight into analysis.
CATO is built for the work between a messy dataset and a defensible result: profile, analyze, audit, and export without hiding the statistical machinery.
Dataset to defensible result
Researchers stay in the loop while their workflow accelerates from weeks to minutes.
Purpose-built for the research data stack.
Data types supported
50+
Tabular, scientific, document, image, and archive formats.
Datasets
49+
Curated biomedical resources available inside the analysis environment.
Tools
209+
Biomedical tools across genomics, pharmacology, imaging, and literature.
An Accurate and Comprehensive System to Support Your Research Workflow
With no code, you can quickly edit features, independently verify the code behind every analysis, and search the literature.
No-code figure editor
Adjust figures, labels, and features in a few clicks, no code required.
Not a black box
Open the exact code behind every result and verify the analysis yourself.
Literature at your fingertips
Search peer-reviewed databases and pull evidence straight into your analysis.
Tabular
Genomics
Single-Cell
Molecular
Medical Imaging
Proteomics
Documents
Other
50+ data types supported
From spreadsheets to genomics, single-cell, imaging, proteomics, and molecular structures, CATO reads virtually any research format without conversion.
Trusted by researchers
Dr. A. Rivera, PhD
Postdoctoral researcher
Biomedical research
"CATO makes the statistical reasoning visible, showing the exact code, assumptions, and missing-data choices behind every figure. It caught a confound I would have missed and walked me through the fix. That level of transparency is something I haven't seen in other tools; it has become an essential part of how our lab prepares work for review."
Tailor-made for
Core feature
Systematic reviews, fully cited, in minutes.
From question to cited review
CATO turns a plain-language research question into a fully cited, publication-quality evidence synthesis, in minutes, not weeks.
- Searches 7 databases at once: PubMed, ClinicalTrials.gov, bioRxiv/medRxiv, arXiv, OpenAlex, Semantic Scholar, and patents.
- AI agents extract PICO evidence, detect study designs, and synthesize findings across studies.
- An inline citation on every claim, checked by a QA agent that flags anything uncited or fabricated.
- Export the finished review to Word in one click.
Available on Pro and above.
Build the next analysis in a workspace that shows its work.
Demand is outpacing what we can currently service, so we are releasing access selectively. Join the waitlist for early access, or book a demo to walk through datasets, figures, literature, and reviewer-ready outputs.