Prospecting

Prospecting

Launch
Underwriting

Underwriting

Launch
Customer Management

Customer Management

Launch
Fraud Management

Fraud Management

Launch
Data Vault

Data Vault

Launch
Feature Engineering

Feature Engineering

Launch
Model Studio

Model Studio

Launch
Products & Frameworks

Products & Frameworks

Launch

Data Vault

  • “Single source of truth” for analytics
  • Systematically automate approval process with strong auditability
  • Develop sophisticated data aggregates easily
  • Manage lineage and permissible use tracking dynamically

Feature Engineering

  • Register sophisticated features using other features, data elements and aggregates
  • Dynamically manage lineage and permissible use and catch exceptions
  • Make approved features available using API’s to modelling teams

Model Studio

  • Insert high power AI models into the decision workflow with full traceability
  • Standardize and automate model approval process that meets regulatory requirements
  • Perform extensive experimentations
  • Enable continuous model validation tracking

Products & Frameworks

  • Develop real-life product hierarchies and parameters for products
  • Develop complex frameworks for decision optimization like NPV, CLTV, Loss Estimates
  • Facilitate decisions at “segment-of-1” using tightly integrated frameworks within policies

Policy Development (use cases in Prospecting, Underwriting, Customer Mgmt. and Fraud)

  • Develop fully connected policies with approved data/features/frameworks/models
  • Centralize approval process and manage decision traceability
  • Compare and benchmark policies against baselines
  • Execute policies at scale on Spark distributed environment
  • Extract production ready artifact for immediate deployment

Cutting Edge Tech Stack

  • Corridor is built on Python based open source stack with Spark for distributed computing
  • Platform scales easily by augmenting the Spark compute cluster to meet response SLA’s
  • Front end UI runs on browser client with Angular / Javascript stack for optimal experience