Underwriting Model
- Minimize the risks
- Improve credit repayment probability
- Automate credit decisioning
Cygnet Fintech’s underwriting model is an automated credit decisioning & fully encrypted lending approach that structure a credit facility by analyzing borrower’s data points such as sales data, purchase data, GST data, bank statements and more, reducing risks and increasing the probability of the credit repayment.
Architectural flow
The monotonous operation of collecting all the business and financial details
Time-consuming assessment of the company's financial performance basis fin-ratio analysis
The challenging task of understanding the financial statements and translating the financial numbers into a meaningful assessment
The fear of data being misused by the financial institutes in the absence of data encryption
Minimize the lending risks in an efficient way free of risks
Manage multiple data points seamlessly
Analyze the financial risks to a business based on the borrower's current and projected cash flows
Sensitive data is secured via encryption
Features
Data gathering
Collect all the business and financial details of the borrowers
Data analyzing
Assess the company's financial performance basis fin-ratio analysis and understanding the financial statements
Real-time access
Make real-time decisions with enhanced accuracy and performance
Updated platform
On the cloud platform which can be accessed anytime and is regularly updated
FAQ
When a lending organization verifies prospect borrowers’ financial details such as income, assets, debt, and other details to approve the loan applications, this process is called underwriting.
They check and verify the submitted financial documents of the borrowers to ensure their financial health to know whether they can repay the loan.
