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At Xpdeep, we turn black-box AI into trusted, certifiable, and profitable enterprise assets. Today, over 90% of AI and Generative AI initiatives never reach production. Not because models don’t perform, but because organizations cannot explain, control, or legally defend them. Black-box AI creates unlimited liability, blocks certification, and keeps AI stuck in pilot mode. Xpdeep was built to remove this barrier. We are the first ante-hoc, self-explainable deep learning framework: our models explain themselves from the inside, before any prediction. No post-hoc approximations. No monitoring after failure. Real transparency by design. Our platform enables organizations to: - Design for trust: Build deep models with explainability, governance, and regulatory alignment embedded from day one. - Optimize with precision: Improve performance surgically by understanding true internal model behavior, reducing false positives, false negatives, and unnecessary complexity. - Certify and govern: Generate audit-ready evidence aligned with the EU AI Act, industry standards, and legal requirements. - Act with confidence: Enable counterfactual analysis, “how-to” recommendations, and KPI-driven decision support grounded in the model’s real logic. Xpdeep goes beyond explainability as transparency. Self-explainability is legal defensibility. If you can’t explain a model, you can’t insure it, certify it, or deploy it safely in regulated or customer-facing environments. Born from seven years of research at Université Grenoble Alpes and backed by the European Union, Xpdeep is already deployed in automotive, aerospace & defense, industrial systems, energy, and finance, including native explainability for time-series models, where traditional XAI fails. Xpdeep — From Black Box AI to Trusted, Actionable Intelligence. #ExplainableAI #EnterpriseAI #TrustworthyAI #EUAIAct #AICompliance #DeepLearning #ActionableAI

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Stanislas Chesnais is the CEO and co-founder of Xpdeep.

9 people are employed at Xpdeep.

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