Stratyfy

Stratyfy is a transparent machine learning solution that aims to enhance credit and risk decisions. According to the vendor, this user-friendly platform is targeted towards financial institutions, fintech companies, insurance companies, lenders, and credit risk analysts. Stratyfy claims to offer features that can assist in making accurate and efficient credit decisions, detecting fraud, and addressing biases in models, with the potential to increase revenue and reduce risk.

Key Features

Credit Risk Assessment: According to the vendor, Stratyfy's advanced modeling approach enables financial institutions and fintech companies to make accurate credit decisions in consumer and small business lending. Users are said to have the ability to easily build, import, test, and analyze flexible models, which could potentially save valuable time and resources.

Fraud Detection: The vendor states that Stratyfy's fraud detection solutions utilize machine learning to help insurers identify suspicious activity and understand the underlying drivers. Insurers are claimed to have the capability to build, import, test, and analyze flexible and interpretable models, potentially reducing false positives and manual review time.

UnBias™: According to the vendor, Stratyfy's UnBias™ solution offers continuous monitoring and addressing of systemic liabilities such as biases and unreliable training data. Users are claimed to be able to build and analyze smarter models, making model bias a reportable key performance indicator (KPI). The solution is said to combine human insights and AI to optimize fairness and performance.