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Drop-in AI explainability engine that makes any black-box model transparent and auditable. Provides local explanations (SHAP, LIME, Integrated Gradients) for individual predictions and global explanations for overall model behavior. Designed for regulated industries — healthcare, finance, insurance, and government — where AI decisions must be explainable to regulators, auditors, and affected individuals. Works with any model framework: TensorFlow, PyTorch, scikit-learn, XGBoost, and API-based models.
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Let's discuss how AI Transparency & Explainability Engine can transform your business. 364 E Main St STE 1008, Middletown, DE 19709 · +1 302 464 0950