Discover organizations tagged with model-interpretability that build and deploy explainable AI systems, provide model audit and governance services, and implement post-hoc interpretation techniques such as SHAP, LIME, integrated gradients, and counterfactual explanations. This curated list highlights companies, research labs, and open-source teams focused on interpretable models, feature-attribution methods, fairness-aware pipelines, and production-ready interpretability tooling; use the filters to narrow results by industry, technique, deployment stage, or compliance capability, compare vendor capabilities, and access case studies and code samples. Explore these organizations to find partners for model explainability, request demos, evaluate open-source libraries, or start a compliance-ready interpretability assessment to improve transparency, debugging, and regulatory readiness.
