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    Turn Black Box AI into Certifiable, Profitable Assets.

    The only White-Box foundation that explains the model itself — before any prediction.
    Because you cannot certify, optimize, or deploy what you don't understand.

    From industrial deep models to next-gen Foundation Models.

    Abstract blue light revealing structure from a former black box
    "NO POST-HOC"

    Explanations are generated inside the model — not approximated after the fact.
    By first explaining the model itself, Xpdeep exposes its blind spots and strengths, building a foundation for predictions that come with real-time explanations and "how-to improve" insights.

    ROI — The Unsuspected Business Impact of Explainability

    Enterprises dramatically underestimate the impact of explainability. Discover how transparent and certifiable deep learning unlocks savings, innovation, and growth that black-box AI cannot deliver.

    Backed by the EU (Chips JU) • Adopted by leaders in automotive, technology & defense

    The AI Reality Check

    95% of Generative AI pilots never reach production.

    Not because AI doesn't work —
    but because organizations cannot control, explain, or defend it.

    Failed to reach production — 95%
    Deployed & trusted

    Source: MIT Sloan / Fortune, 2025

    Xpdeep exists to close this gap.
    We make AI understandable, certifiable, and actionable —
    so models can move from pilots to real-world deployment.

    Don't be a statistic. Build AI you can stand behind.

    Key Value Pillars

    Control

    Understand how your models reason — before they decide.

    Certification

    Produce audit-ready evidence aligned with AI Act, industry standards, and legal requirements.

    ROI

    Reduce failed pilots, accelerate deployment, and unlock savings, growth, and liability ROI.

    The Black Box Barrier: Why Models Are "Uninsurable"

    Countless teams have dreamed of deploying deep learning for virtual sensors, process optimization, autonomous systems, and now generative AI. Yet too many initiatives are stopped cold.

    Why? Because you cannot insure a black box.

    If you cannot explain why a model made a decision, you cannot defend it in court.

    This creates unlimited liability exposure — from hallucination-driven damages to IP infringement and regulatory violations — effectively banning black-box models from production in regulated or customer-facing environments.

    Self-explainability is no longer about transparency — it is about legal defensibility.