Cracking the Code in Credit Risk
Leverage AI to more effectively and holistically measure financial risk
Solutions
Flowcast leverages its patented machine learning algorithms to create high-performing predictive models that reduce risk and unlock credit to businesses. Our models have demonstrated high accuracy in predicting the ability of a business to repay its loans, the likelihood of dilution, and the risk of delinquency. Our API based ML model actively predicts the changes in behaviors based on the activities within the supply chain ecosystem.
Benefits
Our models have demonstrated high accuracy in predicting the ability of a business to repay its loans, the likelihood of dilution, and the risk of delinquency.
Speed
Data-driven intelligence to make quick and confident credit decisions
Accuracy
Models have been tested over extensive periods of time and trained over vast amounts of data
Address the long-tail
Address the long-tail - predict creditworthiness even for businesses with thin files
Technology Highlights
Our API-based solution allows financial institutions to deploy machine learning models that can turn complex data and insights into actions without writing a single line of code
Speed & Scale
Flowcast's platform empowers customers with the benefits of transfer learning. It rapidly analyzes complex datasets to drive more accurate and auditable risk models. Customers can tap into insights captured from previous experience working with risk professionals around the world.
Explainable Results
Unveiling the ‘Black Box’ is key in AI adoption. Flowcast’s high-performing “White Box” machine learning model surfaces explanations to businesses and credit risk teams for accurate and auditable results.
Tested & Proven
Flowcast provides analytics tools to make validating and monitoring seamless. Customers can trust our models to perform well in a real-world setting. We carefully assess the out-of-sample and out-of-time sampling in our validation set and compare it against the in-time training set. The Flowcast machine learning stack is already productized and end-to-end. It has fully incorporated learnings, validation, and governance that has been deployed in both API and private cloud environments, which enables horizontal scalability.
