
At Xpdeep, we are reshaping how enterprises and service providers approach deep learning. Today, most deep learning models operate as black boxes — powerful but risky, opaque, and difficult to govern. This leads to trust issues, compliance risks, stalled deployments, and lost opportunities for growth. Xpdeep transforms deep learning from a black box into a governed, optimized, and actionable enterprise asset. Our platform is built around a simple, powerful vision: Deep learning should be designed for trust, optimized for performance, governed for compliance, and actionable for real business impact — from day one. With Xpdeep, organizations can: - Design smarter: Build models with built-in governance, performance targeting, and human-in-the-loop capabilities. - Optimize surgically: Target specific improvements to model performance — reducing false positives, false negatives, and unnecessary complexity. - Govern with confidence: Maintain full traceability of model evolution, supporting audits, certifications, and continuous improvement. - Enable actionability: Unlock new capabilities like counterfactual analyses, real-time scenario generation, and expert-driven model validation. Unlike post-hoc explainability tools that react to model risks after they appear, Xpdeep builds governance and actionability directly into the model lifecycle — from design to deployment. The result: - Faster, safer, and more strategic deployment of AI systems. - Lower operational risk and regulatory exposure. - Deep learning aligned with real-world KPIs, business objectives, and compliance frameworks. Whether you’re scaling AI across your organization, delivering AI solutions for your clients, or building the next generation of digital infrastructure, Xpdeep gives you the foundation to make AI truly operational, governable, certifiable — and trusted at scale. Xpdeep — Actionable Deep Learning: Designed. Optimized. Governed. Trusted. #AI #DeepLearning #EnterpriseAI #ActionableAI

At Xpdeep, we are reshaping how enterprises and service providers approach deep learning. Today, most deep learning models operate as black boxes — powerful but risky, opaque, and difficult to govern. This leads to trust issues, compliance risks, stalled deployments, and lost opportunities for growth. Xpdeep transforms deep learning from a black box into a governed, optimized, and actionable enterprise asset. Our platform is built around a simple, powerful vision: Deep learning should be designed for trust, optimized for performance, governed for compliance, and actionable for real business impact — from day one. With Xpdeep, organizations can: - Design smarter: Build models with built-in governance, performance targeting, and human-in-the-loop capabilities. - Optimize surgically: Target specific improvements to model performance — reducing false positives, false negatives, and unnecessary complexity. - Govern with confidence: Maintain full traceability of model evolution, supporting audits, certifications, and continuous improvement. - Enable actionability: Unlock new capabilities like counterfactual analyses, real-time scenario generation, and expert-driven model validation. Unlike post-hoc explainability tools that react to model risks after they appear, Xpdeep builds governance and actionability directly into the model lifecycle — from design to deployment. The result: - Faster, safer, and more strategic deployment of AI systems. - Lower operational risk and regulatory exposure. - Deep learning aligned with real-world KPIs, business objectives, and compliance frameworks. Whether you’re scaling AI across your organization, delivering AI solutions for your clients, or building the next generation of digital infrastructure, Xpdeep gives you the foundation to make AI truly operational, governable, certifiable — and trusted at scale. Xpdeep — Actionable Deep Learning: Designed. Optimized. Governed. Trusted. #AI #DeepLearning #EnterpriseAI #ActionableAI
Founded: Mar 2023
Headquarters: Saint-Martin-d'Hères, France
Product: Self-explainable deep learning framework (ante-hoc explainability)
Founders: Stanislas Chesnais (CEO) and Ahlame Douzal (CSO)
Stage: Pre-Seed
Investors / Support: Linksium; CNRS / CNRS Innovation; support from Université Grenoble Alpes and Bpifrance; EIT Digital Accelerator (support program)
Explainable AI for deep learning; model governance, certification and regulatory compliance for enterprise and regulated use cases.
2023
Software Development
Dealroom lists an entry dated Mar 2023 (amount shown as '€0.0' in the excerpt).
Dealroom lists an entry dated Jul 2023 (amount shown as '€0.0' in the excerpt).
EIT Digital Accelerator listed as a support program entry in Jan 2025.
“Linksium; CNRS / CNRS Innovation; support from Université Grenoble Alpes and Bpifrance; participation in EIT Digital Accelerator (support program)”
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