Interpret ML

At Intelligible, our platform is built on InterpretML, the open-source framework for interpretable machine learning developed by our team and collaborators. InterpretML provides Explainable Boosting Machines (EBMs): generalized additive models that combine the accuracy of modern ML with the transparency of risk curves and feature-level explanations.

By combining glass-box statistical models with generative reasoning from LLMs, Intelligible delivers predictions that are not only accurate but also auditable, composable, and aligned by design. This foundation enables hospitals and health systems to move beyond black-box scores toward interpretable insights that can be trusted, debated, and acted on.