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Turn your data into evidence you can trust.

Upload your data, compare suitable models, understand the results, and create a report in one workspace. Start with how your data is organized and finish with results you can review and share.

Guided upload workflows 268 available model setups Prediction explanations and ready-to-edit reports
Choose your lane
3
Primary starting points
Cross-sectional, longitudinal, and time series
20
Guided workflows
Across core and specialist analysis routes
268
Model configurations
Cataloged across the current upload workflows
Recommended first step

If you know your dataset structure, start below. If not, jump to the full services catalog and compare options side by side.

Start Here

Pick the workflow that matches your data.

These are the core entry routes we want users to recognize instantly on both `/` and `/services`.

Browse the full service catalog

Cross-Sectional

One record per unit of analysis for classification, regression, and count outcomes.

Longitudinal

Repeated-measures data where subjects are observed across multiple time points.

Time Series

Ordered sequences and forecasting workflows using classical and deep learning models.

Guided Start

Not sure which workflow fits your data?

Tell us how your data is organized and what you want to do. We will suggest the most suitable upload page.

Specialized Workflows

Need something more specific?

AutoML Services also supports domain-specific workflows beyond the main data-type gateway. These routes are kept visible here so power users can jump straight in without hunting through the catalog.

How It Flows

A simple path from choosing a service to running a job.

Start here for a quick choice, then use `/services` when you want to compare the options in more detail.

1
Choose the type of analysis
Start by data structure or jump into a specialist route.
2
Upload and configure
Every service uses a dedicated upload form with the right inputs.
3
Train, inspect, and explain
Track jobs, metrics, SHAP, and reports from one consistent workflow.
User Guides

Learn the platform before you commit a run.

These guides cover onboarding, choosing workflows, preparing data, understanding billing, and using predictions.

Open all guides