Stratyfy
Stratyfy builds interpretable machine learning for financial institutions across credit risk assessment, fraud detection and bias mitigation, on the argument that transparency and…
Overview
Stratyfy builds interpretable machine learning for financial institutions across credit risk assessment, fraud detection and bias mitigation, on the argument that transparency and control matter more than raw predictive power when the decision affects a person. Its Probabilistic Rules Engine produces decisions expressed as readable rules rather than scores, so any prediction can be explained directly to the customer, to regulators and to internal stakeholders, and lenders can write their own knowledge of market conditions and emerging risks into the model alongside the data. A published comparison against conventional decisioning found it identified nearly twice as many pre qualified applicants while lowering the overall bad rate, expanding the addressable market by 70 percent. The company is women led and backed by a major bank's venture arm and a core banking provider.
Details
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