ZAML is a machine learning credit and risk modeling solution with end-to-end explainability. It is fast and powerful and offers unique transparency with regards to fees and processes. Zest’s Automated Machine Learning (ZAML) enables lenders to analyze non-traditional data, including data they already have in-house, such as customer support data, payment histories, and purchase transactions. Request
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ZestFinance’s ZAML software uses a proprietary explanation method derived from game theory and multivariate calculus that works on the actual underlying model. ZAML explainability determines the relative importance of each variable to the final score by looking at how it interacts with other variables. ZestFinance was one of the first companies to deploy machine learning models for lending. ZestFinance's AI-based tools help lenders to increase revenue, reduce risk, and ensure compliance with complex federal regulations.