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