SMB Default Risk 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.

Key Features

  • 30+ Proprietary algorithms to analyze and predict inventory requirements
  • Dynamically updated proprietary ontologies
  • Execute, save, benchmark and analyze what-if scenarios
  • Exhaustive and Relevant data source curation

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

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.

Vigilo® Optimal Factory Scheduling serves:

  • Banks
  • Fintech and small business lending companies
  • Mortgage companies
  • Non banking financial companies
  • Legal Teams

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