Completed AutoML run
A public Titanic classification example walks through data checks, EDA, 16-model comparison, selected-model metrics, 21 saved plots, threshold performance, SHAP explanations, and generated reports.
Open completed run → Reviewable analytics workflows
AutoML and statistical analytics with evidence you can review
Xalec AI helps professionals and teams train models, check data, build statistical outputs, and export reports without losing the review trail. Use AutoML for machine-learning workflows and Reproducible Analytics Studio for statistical workflows.
Completed AutoML run
Titanic example with data checks, model comparison, SHAP, threshold performance, reports, and saved outputs.
KAIS analytics package
Statistical workflow example with data dictionary, EDA, Table 1-3 outputs, figures, and report draft.
Docs and repositories
Product docs and public repositories are linked where available for technical review.
Security and privacy
Security, privacy, legal, and data-processing pages are available before you share data.
Products
Choose AutoML for models. Choose Analytics Studio for statistical reports.
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.
Examples and evidence
Inspect examples before you ask for access.
Start with real outputs: one completed AutoML run and one statistical reporting package.
Research analytics manuscript
A Reproducible Analytics Studio example shows a KAIS 2012 output package with a data dictionary, Table 1, Table 2, Table 3, figures, and an AI-assisted manuscript draft.
Open example →Docs and repositories
Product docs and public repositories are linked where available, including the AutoML services repository.
Open docs →Security and privacy
Security, privacy, and terms pages are available for professionals and organizations reviewing data-handling expectations.
Review security →Next Step
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