Celeus
Celeus provides AI statistical analysis for researchers. Upload your data and it recommends appropriate methods, then runs them deterministically in R—without the AI ever accessing raw data rows. The company says it supports 39 statistical methods.
Updated: 2026-10-27
What is Celeus?
Celeus is an AI statistical analysis platform for researchers: after uploading a dataset, the AI recommends suitable statistical methods and explains the rationale, while the actual computation runs deterministically in R, and the AI does not touch raw data rows. Results come with plain-language interpretations, warnings, and a reproducibility package, and the company says it supports thirty-nine statistical methods. It separates statistical method selection from computational execution: the AI makes recommendations, and R performs the calculations.
Key features
5Method recommendations
The AI recommends statistical methods based on the research question and explains the rationale, reducing the risk of choosing the wrong test.
Deterministic computation
The actual analysis is performed by R, results are reproducible, and the AI does not directly access data rows.
Plain-language interpretation
Statistical results come with accessible explanations and warnings to help researchers without a statistics background understand the conclusions.
Research data support
Supports REDCap dictionaries, sensitivity analysis, and censored data, fitting medical and social science research scenarios.
Format compatibility
CSV, TSV, and Excel files all work, and paid tiers support SPSS, Stata, and SAS files.
How to use Celeus
- Keep the correspondence between raw data and analysis scripts and document it in the reproducibility package.
- Prepare a variable dictionary before uploading so the AI recommendations are more accurate.
- Archive the reproducibility package together with the paper to facilitate peer-review verification.
- For key conclusions, review both the plain-language interpretation and the statistical output to avoid misunderstandings.
- The pain point it addresses is that researchers understand their domain but may not be statistical experts, and what they need is an analysis partner that can explain things clearly and produce reliable results.
- Overall, the effectiveness of this type of tool depends on whether the user's goals are clear.
- Before formal adoption, it is advisable to spend time reading the official documentation and changelog to confirm whether the feature scope, data permissions, and billing rules match your own business processes.
- When encountering uncertain details, confirm through official customer support or the help center first, and do not rely on third-party information for important decisions.
- At the same time, any automation should retain a human review step.
- especially in scenarios involving funds, external communications, or legal obligations, humans remain the ultimate bearers of responsibility.
- The value of a tool is not in replacing judgment, but in offloading repetitive work so people have time to handle more complex problems.
Things to know
Who it is for
- Researchers who need guidance on statistical methods but are also concerned about data privacy.
- Academic teams analyzing survey or clinical data who need reproducible results.
- Users who use SPSS or Stata but are willing to migrate to cloud analysis.
Traffic & popularity
Data month Sep 2026
Celeus receives about 5.5K visits per month.
Monthly visits
3 monthsEstimated from third-party traffic data.
Similar tools
ChatSPSSThe online statistical analysis tool launched by Chengdu Nature Intelligence Technology supports uploading CSV, Excel, SPSS and Stata data. According to the official website, it covers more than 27 statistical methods and automatically generates three-line tables and interpretations.
Qinyan AcademicQinyan Academic is a one-stop AI academic research platform covering topic selection and retrieval, literature reading, auxiliary writing and knowledge base. It provides super agents, Chat PDF and 10,000 citation formats, and supports all terminals and plug-ins.
HintlyHintly is a real-time side explanation tool for Google Meet. When terms, personal names or company abbreviations appear, it provides plain-language explanations and fact-checking. It costs $12 per month and includes 50 hours of usage.
ResilAIResilAI is an AI event readiness platform that integrates security telemetry and validates with deterministic scoring. It provides three-layer translations for executives, managers and IT, and is open-sourced under GNU AGPL-3.0.
NovixAn AI collaborative scientist for researchers, officially said to support from formulating research hypotheses all the way to experimental verification, covering literature sorting, experimental design, data analysis and visualization.
Vizly AIAI data analysis assistant: After uploading a table, you can directly ask questions in natural language. It automatically generates visualizations, statistical analysis and prediction results, and can export reports to various formats such as Word and PDF.