Xalec AI helps you train machine-learning models, check data, produce statistical tables, and create reports that are easier to understand and share. Use Xalec AutoML Services for automated machine learning, and Reproducible Analytics Studio for statistical analysis.
Use AutoML when you need to train, compare, explain, and review machine-learning models. Use Reproducible Analytics Studio when you need statistical analysis, tables, figures, methods, and publication-ready outputs.
Start with real outputs: one completed AutoML run and one statistical reporting package.
See a finished machine-learning run from data checks through model comparison, performance charts, explanations of the result, and generated reports. The technical evidence includes EDA, SHAP, and 21 saved plots.
Open completed run →See how one dataset becomes a data dictionary, statistical tables, figures, and a manuscript draft. The KAIS 2012 package keeps each source output available for review.
Open example →Review workflow coverage, examples, evaluation notes, product options, and current limits.
Open docs →Security, privacy, and terms pages are available for professionals and organizations reviewing data-handling expectations.
Review security →Send a short note about the work you want to improve. We will point you toward the closest fit, or say plainly when the fit is not clear yet.