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Celeus

Celeus provides AI-driven statistical analysis for researchers, offering reproducible results with plain-language interpretations. It ensures data privacy by never exposing data rows to AI models.

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Celeus screenshot
Celeus screenshot

Celeus is a statistical analysis tool designed for researchers who need to defend their data-driven conclusions. By leveraging the power of R for statistical computations, Celeus ensures that the results are reproducible and reliable. Users can upload datasets in various formats such as CSV, TSV, Excel, SPSS, Stata, and SAS. The platform suggests appropriate statistical methods based on the dataset and research question, runs the analysis deterministically, and provides a plain-language interpretation of the results.

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One of the key features of Celeus is its focus on data privacy. The AI model never accesses the actual data rows; instead, it works with de-identified metadata and aggregate results. This ensures that sensitive information remains confidential. Celeus also offers an identifier scan to flag potential identifiers before analysis, allowing users to pseudonymize or exclude them.

Celeus supports a wide range of statistical methods, including t-tests, ANOVA, regression models, and survival analysis, among others. Each analysis run comes with a reproducible package that includes the R script, seed, session info, and an audit log, ensuring that results can be verified and replicated.

The platform offers a freemium pricing model, with a free tier allowing up to 10 analysis runs per month. The Pro plan, priced at $19 per month, provides additional features such as 500 analysis runs, 5 GB of storage, and the ability to share projects with collaborators. Celeus is ideal for researchers across various fields, including clinical research, psychology, ecology, and public health, who require robust statistical analysis without compromising data privacy.

  • CategoryAI Data Analysis
  • Pricing ModelFreemium
  • DeploymentCloud
  • PlatformsWeb

  • AI-driven statistical analysis

  • Reproducible results with R

  • Data privacy with de-identification

  • Wide range of statistical methods

  • Plain-language result interpretation

  • Identifier scan for data privacy

  • Freemium pricing model

  • Collaborative project sharing

  1. Upload: Add your dataset in supported formats

  2. Analyze: Choose or let Celeus suggest a method

  3. Interpret: View plain-language results

  4. Share: Collaborate with others on projects

  • Clinical Research
  • Psychology Studies
  • Ecological Surveys
  • Educational Outcomes
  • Public Health Analysis

Celeus Reviews

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