SMB Loan Default Prediction

AI-based Commercial Credit Risk Analysis Software

Vigilo® SMB Loan Default Prediction uses lender’s internal as well as external data sources, news, and social media platforms to predict the likelihood of default during next 60-90 days by small and medium business (SMB) borrowers.

Use Cases

  • Extraction and analysis of commercial loan application documents

  • Analyzing borrower cash flow patterns

  • Decision making with respect to the loan disbursal

  • Analysis of latest financial state of borrower

Vigilo Serves

Vigilo®

Credit Risk Software for SMB Lenders

SMB Loan Default Prediction by Scry Analytics Builds a complete profile for each borrower with data from the bank's internal and external data sources and extracts behavioral attributes from social media e.g. Yelp, Google, Twitter, etc.

More Detail

Collatio has been built using
the following technologies

  • Bayesian networks

  • Reinforcement learning

  • Generic rule-based machine learning

  • Heuristic algorithms

  • Data mining

  • Big data integration

  • Big data analytics

  • Reverse engineering

Key Differentiators &
Business Benefits

  • Accuracy

    90%+ accuracy achieved with domain specific ontologies

  • Pre-built connectors

    40+ scrapers & connectors for ingesting external data from online platforms

  • Customizable Dashboards

    Customizable pre-packaged dashboards for complex monitoring needs

  • 360o View

    Creates a 360-degree view by using various social media and other data sources from the Internet

  • Actionable Insights

    Automated insights on topic of interest backed by subject matter expertise.