Raw coded data is converted into readable, accurate calculations called "findings". All findings can be selected for later use.

Selected findings can be used to generate an AI report. Citations can be generated to avoid hallucinations.

AI Rankings of data are used to generate summaries that highlight key insights.

Unseen connections are referenced with an overall summary and can be instantly explored.

Each finding is ranked by an AI-based "Eureka Score" that judges how good the stats/ metrics are and how surprising or relevant the finding is.

The Eureka Score is also aggregated on the column level for a high level assessment.

All the hidden intersecting metrics between two columns are calculated automatically.

The most critical metrics are surfaced to the top for your goals.

Every Relational Metric has a predictive power that is built from regression models.

The predictive metric shows which connections are so strong, they are predictive.

The input data goes through an automated data assessment before analysis.

Data errors and outliers are shown as an interactive checklist, building trust in future analyses.