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
Banks
Fintechs and small business lending companies
Mortgage
companies
Non-banking
financial companies
Legal
Teams
Procurement
Banking and
Insurance
Credit
Unions

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 DetailCollatio 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.
© 2021 Scry Analytics