Kanaries

Kanaries (formerly RATH) automates exploratory data analysis. Upload a dataset, and it automatically discovers patterns, correlations, outliers, and interesting subsets. The AI generates visualizations highlighting findings without requiring you to specify what to look for. This is valuable for initial data exploration and finding insights you weren't specifically seeking. The Graphic Walker component provides a drag-and-drop interface for creating custom visualizations after initial exploration. The causal analysis features attempt to identify cause-and-effect relationships in data. The platform can connect to databases and data warehouses for analysis at scale. The automatic insight quality varies based on data characteristics. Clean, well-structured data yields better results. The AI occasionally flags spurious correlations as significant. The interface can feel overwhelming with many suggested insights. Best for data scientists doing exploratory analysis and looking for unexpected patterns.