Celeus is a statistics platform for medical and scientific research. It finds a method that fits your data, runs the analysis reproducibly, and explains the result in plain language. Built for doctors and researchers who are not statisticians, and for teams without a biostatistician on hand. It tells the researcher which method was chosen and why, and what the result means. Classical statistics software assumes expertise. Which test you pick depends on how much statistics you know. Whether that test was appropriate is often unclear, and getting a statistician to check your data is expensive and slow. Celeus was built to close that gap. What it offers: Reproducibility. Same data, same result. Analyses run on pinned software versions and ship with the plan, the R script, session info, and the audit log. The AI interprets the result. It does not choose the test; method selection follows fixed rules. Data security. Datasets stay in your workspace; they are always encrypted at rest and in transit. Access is role-based. The audit trail is tamper-evident. Sensitive information is filtered and not stored by default. Raw data is never sent to the AI model. Only allowed summary metadata reaches it. Names, dates of birth, free text, and row-level patient data do not. celeus.ai/security Celeus is for research statistics. It is not a clinical decision support system and does not recommend patient-specific treatment. Our validation report is public. celeus.ai/validation