eAnalyzer is a machine learning-powered solution for commercial lending companies. It rapidly predicts loan eligibility by using an artificial intelligence engine to evaluate financial statements and other underwriting criteria.
A predictive too powered by data science that helps save time and minimize risks, eAnalyzertm leverages the power of machine learning to reliably predict loan approval while providing recommendations to help improve the probability of securing a loan. Based on information collected from thousands of past loans, it analyzes key data elements from various sources (including loan application forms, bank statements, and credit reports) and compares them with vital factors (including average sales, average balance, and years of business operation).
Value Proposition
Oftentimes, it is difficult to qualify prospects. By vetting leads in advance, eAnalyzertm provides meaningful insights that help make crucial business decisions, enabling loan origination companies to concentrate their focus on qualified leads and identifying areas applicants can improve to make loan approval more likely. This reduces time and verifies results, leading to a more efficient, complete, and accurate decision-making process.
Technologies
eAnalyzertm is based on a machine learning engine that uses predictive modeling to give you crucial information. It is constantly improving by gleaning data from new sources.
eAnalyzertm Leverages Data Science Technologies
Artificial Intelligence
Cognitive Computing
Predictive Analytics
How Does eAnalyzertm Work?
eAnalyzertm is a machine learning-powered solution for commercial lending companies. It rapidly predicts loan eligibility by using an artificial intelligence engine to evaluate financial statements and other underwriting criteria.
eAnalyzertm Key Functions
Using a training model based on 23,000 past loans, eAnalyzer predicts eligibility by automatically evaluating and pulling information from the loan application form, bank statements, and credit report.
Thresholds and parameters can be set to your specifications
Shows probability of whether or not the loan will be approved
Automatic Evaluation of Bank Statements
Pulls information from loan application forms, bank statements, and credit reports
Considers many critical factors for evaluation – average sales, average balance, years of business operations etc.
Why Businesses Trust eNoah
Why eNoah?
20 Years of Experience
Quality Assurance
Good Decision-Making Insights
Global Presence
Reduce Time to Market
