AI / Machine Learning / nn-07
Customer Churn Survival Network
Converts enterprise data into faster decisions, measurable quality gains, and defensible automation.
Commercial Scale
$15,950 USD
Risk Reduced
Automation Reliability
Executive Situation
Account teams knew which customers churned, but lacked a time-aware model that estimated when risk would peak and which events accelerated attrition.
Modular Solutions Response
We modeled churn as survival analysis with neural hazard layers, behavioral features, and account-stage stratification. Outputs include risk intervals, covariate attribution, and monitoring for seasonality shifts across customer segments.
Industry
Enterprise Operations
Category
Neural Networks & Deep Learning
Specialty
Optimized
Evidence Basis
Model + MLOps
parameters
9.4M survival network
latency
13ms account score
training
19 GPU hours
loss
L = -Σ(δᵢ(log hᵢ - Hᵢ))
Enterprise Security Gate
Network Access Restricted.
Detailed files, client-specific assumptions, and delivery channels remain controlled.