A new approach to credit decisioning that helps you underwrite on the go reducing loan defaults
Ingest engine to extract portfolio data across various data platforms from S3 to SQL, in various formats ranging from csv to json.
Preprocessing of raw data which involves cleansing,editing and feature selection to make computation efficient and enhance model performance.
Provide insights of various patterns,trends and correlations present in data in the form of simple and understandable graphs.
Involves setting up statistical relation from the data to underwrite the customers based on various machine learning algorithms and select the best model depending on performance metrics.
Allow risk heads to understand their current NPA and simulate their customer portfolio by changing the NPA parameter.
The product could be deployed on cloud or on-premise, giving users full access and control.
Microservice architecture (REST APIs) makes integration almost painless and our rich user interface makes you underwrite on the go.