Flowcast has developed an enterprise scale machine learning platform that provides a unique and effective approach to credit decisions. 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. Flowcast’s products, Smartcredit and Smartclaims, are powered by our patent pending ML platform.
Flowcast’s ML platform empowers risk professionals to gain the benefits of transfer learnings. It was designed to help rapidly analyze complex datasets to drive more accurate and auditable risk models. Our ML solution allows access to insights that are captured through many iterations and experience working with risk professionals around the world, uncovering intricacies of supplier and buyer behavioral dynamics.
You can invoke an API call in real-time to get predictive results integrated into existing ERP rules engines and workflow tools. The ML platform can be deployed in public or private cloud infrastructures.
There are regulatory requirements to be able to explain, in human terms, how certain decisions were reached. The ability to explain the predictive output is equally important to the accuracy of the prediction itself. The rise of complex ML models makes explainability a key element in AI.
We provide analytics tools to make validation and monitoring seamless. We require our models to perform well in a real-world setting. This means that 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. It is important to have accurate assessments of future performance in production.