Xalec AI helps teams check data, train models, run statistical analyses, and turn the work into reports people can understand. Start with Xalec AutoML Services for machine-learning workflows, or 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 the outputs. You can inspect a completed AutoML run and a statistical reporting package before you get in touch.
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 →Tell us what you are trying to do, what data you have, and what a useful result would look like. We will suggest the closest fit, or tell you when neither product is ready for that job.