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  • About

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    Prediction Guard allows you to integrate secure, private GenAI functionality into your software applications via an easy-to-use API.

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  • Documentation

    Guides & Concepts

    Understand how to use our API on a deeper level. Learn how to use our different endpoints and features.

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    API Reference

    Integrate compliant natural language processing and generation into your products with a few lines of code. 

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    SDK Documentation

    We provide official open-source SDKs (client libraries) for your favorite platforms, These clients make connecting to our API faster and help avoid errors.

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    Compliance, Security & Self Hosting

    We don't store, log, or cache any prompt data flowing through out system. We couldn't train models on your data if we wanted to! Our focus is keeping your data your data.

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  • Events

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    In this episode, we explore the evolving landscape of agentic AI systems—autonomous, decision-making agents that drive powerful automation across industries. But with great power comes great responsibility.

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  • Blog
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Daniel

 

Daniel Whitenack (aka Data Dan) is a Ph.D. trained data scientist and founder of Prediction Guard. He has more than twelve years of experience developing and deploying machine learning models at scale, and he has built data teams at two startups and an international NGO with 4000+ staff. Daniel co-hosts the Practical AI podcast, has spoken at conferences around the world (QCon, ODSC, Applied Machine Learning Days, O’Reilly AI, GopherCon, KubeCon, and more), and occasionally teaches data science/analytics at Purdue University.