Restoring Trust Via Operational Control of AI Agents
Prediction Guard was built by AI and enterprise software veterans tired of seeing the adoption of AI (and now agents) result in an erosion of trust. We give organizations the ability to deploy fleets of agents without losing control. This enables new, valuable outcomes for end users while building, not eroding trust.
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Leadership & team

Daniel Whitenack
Daniel Whitenack (aka Data Dan) is a Ph.D. trained data scientist and founder of Prediction Guard. He has more than 15 years of experience developing and operating machine learning and AI systems at scale. He has built data teams at two startups and an international NGO, and he has trained 1000's of AI practitioners across the world.
Daniel co-hosts the Practical AI podcast (named one of Fast Company's "5 AI podcasts that explain it all" with 2M+ listens per year), has spoken at conferences around the world (AI Engineer World's Fair, QCon, ODSC, O'Reilly AI, KubeCon, and more), and occasionally teaches data science/analytics at Purdue University.

Katie Bowen
Katie Bowen is a strategic global revenue leader with deep expertise in the SaaS and differentiated services market, federal and commercial channels, and revenue operations. As Head of Go-To-Market at Prediction Guard, she leverages a proven track record of scaling high-performing organizations and implementing AI-driven growth and enablement strategies.
Katie's unique perspective is shaped by her early career in the public sector, including serving as a Contracting Officer for the CIA as well as contributing to successful exits in the software development services space.
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Scale your fleet of agents without losing control
Book a demo and see how Prediction Guard gives you operational control of agents without blocking adoption.