AI-powered 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, no coding required.
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 data-analysis software is expensive, demands complex coding and a steep learning curve, and slows 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 an AI data-analysis workspace 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, comprehensive AI system for your research workflow
With no code, you can run statistical analysis, independently verify the code behind every result, and search the scientific literature.
No-code figure editor
Adjust figures, labels, and features in a few clicks, no code required.
You are in control
Fully transparent: 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
Imaging
Proteomics & Cytometry
Documents & Code
Other
50+ data types supported
From spreadsheets and SPSS, SAS, and Stata files to genomics, single-cell, imaging, proteomics, and molecular structures, CATO reads virtually any research format without conversion. Moving from SPSS or GraphPad Prism? Import your existing files and keep working.
Tailor-made for
AI for researchers, physicians, biotech and pharma R&D teams, clinical trials, academic labs, core facilities, and bioinformatics.
Core feature
Systematic reviews, fully cited, in minutes.
From question to cited review
CATO's AI literature review turns a plain-language research question into a fully cited, publication-quality systematic review, 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.
Pricing
Plans for every stage of research.
Every plan runs real analysis in a sandboxed scientific computing environment. Upgrade, downgrade, or cancel anytime.
Want to try CATO for free?
Book a demo and we will set you up with a free trial of the software.
Standard
For individual researchers and everyday analysis.
$20/month
Renews monthly. Cancel anytime.
- Standard and Research analysis modes
- Transparent code insight: open and verify the exact code behind every result
- Sandboxed Python & R with 200+ scientific libraries
- Chemistry, sequence, and bioinformatics toolkits
- Unlimited projects and datasets
- No-code figure editor and 3D molecular viewer
- Export reports, figures, and data: Word, PowerPoint, Excel, CSV, PNG, SVG, PDF, and more
- Literature briefs and 10 literature watches
- Run up to 3 analyses at once
Pro
For intensive research and scientific teams.
$100/month
Renews monthly. Cancel anytime.
- Everything in Standard, plus:
- 5x the Standard usage allowance
- Systematic reviews with evidence extraction
- Built-in Review: results are verified against the evidence
- 50 literature watches
- Run up to 5 analyses at once
Pay-as-you-go
For heavy or bursty months. No monthly cap.
Metered
No monthly fee: pay only for what you run.
- Everything in Pro, plus:
- Metered usage with no monthly cap
- Unlimited literature watches
CATO for Labs
Bring your whole lab. Shared projects for the group, full Pro access for every member.
- Everything in Pro, for every seat
- Independent usage for each member
- Shared lab projects, datasets, and conversations
- Invite members and manage roles
- One subscription, billed to the lab owner
- Add or remove seats at any time
Need institution-wide access, custom agreements, or a DPA? Book a demo or email contact@nyrus.ai.
FAQ
Questions researchers ask.
Think of CATO as a colleague you hand your data to. Ask a question in plain language and it profiles your dataset, runs the right statistical tests, builds publication-quality figures, drafts cited literature summaries, and writes up results as Word, PowerPoint, or Excel files, usually in minutes. It fits into your existing workflow: upload the files you already have, keep the outputs you already use, and open the Python or R code behind any result whenever you want to check the work.
Yes. CATO is an AI literature review tool that searches PubMed, ClinicalTrials.gov, bioRxiv and medRxiv, arXiv, OpenAlex, Semantic Scholar, and patents, extracts PICO evidence, and produces fully cited systematic reviews you can export to Word. Available on Pro and above.
No. CATO is a no-code data analysis tool: you work in plain language and a no-code figure editor. Every result still exposes its underlying Python or R code, so you, or a reviewer, can verify everything.
Yes. CATO covers what SPSS, GraphPad Prism, SAS, and Stata do, and goes further: it writes and runs real Python and R, so you get modern statistical methods, the full bioinformatics ecosystem, and publication-ready figures from a single conversation. It imports their native file formats directly, and unlike point-and-click statistics software, it shows the code and assumptions behind every result.
CATO reads 50+ formats across tabular, genomics, single-cell, molecular, imaging, proteomics, and document data, making it a general biomedical data analysis platform rather than a single-assay tool.
CATO is built for researchers, physicians, biotech and pharma R&D teams, clinical trials, academic labs, core facilities, and bioinformatics groups: anyone who needs research-grade analysis without building a software pipeline first.
Standard is $20 per month, Pro is $100 per month, and Pay-as-you-go is metered with no monthly fee. Institutional and lab-wide agreements are available.
Build the next analysis in a workspace that shows its work.
Create an account and run your first analysis today, or book a demo to walk through datasets, figures, literature, and reviewer-ready outputs.