Products

Xalec AI has two main products. AutoML is for building and comparing machine-learning models. Reproducible Analytics Studio is for statistical analysis, tables, figures, and reports.

Products

Choose the kind of work you need to do.

Choose AutoML if you are building and comparing machine-learning models. Choose Reproducible Analytics Studio if you are preparing statistical tables, figures, methods, or reports.

Products

Two main products for machine learning and statistical analysis

Machine learning + statistical analysis

Flagship Product Machine Learning

Xalec AutoML Services

Use this when you need to train, compare, explain, and review machine-learning models.

Proof to inspect: completed AutoML run

Choose a guided machine-learning workflow for supported data, text, media, graph, or graphical-model inputs
Tell the platform which fields matter, check the data, and choose how models will be compared before training
See the scores, plots, model explanations (SHAP), reports, saved outputs, and review notes alongside the model result

Open AutoML platform →

Core Product Statistical Workflows

Reproducible Analytics Studio

Use this when you need statistical tables, figures, methods, and report-ready outputs.

Proof to inspect: KAIS output package

Check the dataset, create a data dictionary, explore the data, then build source tables before exporting
Produce participant summaries, prevalence tables, predictor results, figures, and reports
Choose descriptive, cross-sectional, survival, longitudinal, diagnostic, and reporting paths where supported

View product →

JavaScript is off. The two main product cards above are still available. Some filtering and manifest-driven updates may not appear.

How to choose

Start with the work you need to do.

For machine-learning workflows: Start with Xalec AutoML Services.
For statistical workflows: Start with Reproducible Analytics Studio and its exported output examples.
For work outside these products: Start with a short fit discussion so the scope is clear before anything is presented as a product.

Need help choosing?

Still deciding?

Send a short note about the problem, dataset, or workflow. We will help you work out which product is closest, and we will say so if neither is a good fit yet.