Churn detection and per-customer personalized action model
TITAN-CORE is a proprietary Deep Learning architecture that detects, for each customer, whether they are Active, Spacing out, Slipping away or Inactive. The model analyzes more than 20 signals to adapt actions to their real situation: retain, re-engage, hold on to or win back.
TITAN-CORE plugs directly into your existing stack. No migration, no rewrite. Signals come in. Decisions come out.












TITAN-CORE builds a unified graph of several million relationships between your customers, your products and their behaviors. Not a tabular view — a network of signals.
Segments redefine themselves continuously based on real behaviors. No fixed rules. No categories to maintain.
The model identifies customers in the process of slipping away before they are lost, by cross-referencing frequency, recency, order value and contextual signals.
TITAN-CORE feeds directly into TITAN-REC, TITAN-LINK and TITAN-HORIZON — your segments, your churn predictions and your recommendations share the same truth.