Explainable deep learning platform for regulated AI deployment
Xpdeep builds ante-hoc explainability into deep learning models so they explain themselves before prediction, not after. The tech stack (TypeScript, React, FastAPI, Python, Kubernetes, Terraform) reflects a young company still industrializing DevOps and CI/CD pipelines—internal scaling pain points that align with their three engineering-heavy senior hires in the last month. The project list reveals dual focus: infrastructure maturity (IaC, DevOps automation) and product differentiation (explainability visualization, real-time AI data rendering via Three.js/WebGL).
Xpdeep solves the liability and certification problem blocking AI from production in regulated industries. Their platform embeds explainability into model architecture before inference, generating audit-ready evidence aligned with the EU AI Act and industry standards. Founded in 2023 and based in France with 11–50 employees, they sell to enterprises that cannot deploy black-box models due to compliance or customer-facing risk. Active hiring is skewed toward senior engineers, signaling both technical ambition and commercial structuring challenges they're working to address.
TypeScript, React, Next.js, and FastAPI form the frontend and API layer. Python, Docker, and Kubernetes handle model training and serving. Infrastructure runs on AWS with Terraform and Ansible for IaC, GitLab for CI/CD, and Grafana for observability.
Primary focus areas include industrializing DevOps practices, improving CI/CD pipelines, and building an AI explainability visualization platform. They're also structuring partnerships and expanding their commercial function to drive channel growth.
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