Use Cases

Kickstart your RAI journey with sample notebooks for real-world examples and use cases.

Anti-Money-Laundering Model and detect suspicious financial activity using recursive graph reasoning, ownership tracing, and rule-based logic.

Community Detection Detect customer communities with graph algorithms, Louvain clustering, and 3D visualizations—right inside Snowflake using RelationalAI.

Data Harmonization Use graph-based reasoning to resolve data inconsistencies, link related records, and build a unified view of entities across messy datasets.

Traversing Decision Trees Use graph-based logic to model and traverse decision trees that return tailored outcomes based on dynamic input conditions.

Entity Resolution Resolve duplicate records with rule-based matching and fuzzy similarity scoring to identify unique users across datasets with noisy or conflicting data.

Fraud Detection Detect users who share contact info in unusual ways, like using the same phone and email but living at different addresses.

Login Sharing Detect account sharing by analyzing login activity across devices and locations, identifying suspicious users and confirming fraud via timestamped events.

Track and Trace Model supply chain events to track how items are created, combined, and moved—from origin to destination.

Understanding User Behavior Use graph-based reasoning to resolve data inconsistencies, link related records, and build a unified view of entities across messy datasets.