Hanna Applied AI builds private, defensible AI for teams that work with sensitive, high-stakes data -- law firms, real estate investors, and research-driven organizations
Hanna Applied AI builds private, defensible AI for teams that work with sensitive, high-stakes data -- law firms, real estate investors, and research-driven organizations. Most AI projects fail quietly: built on weak foundations, impossible to govern, abandoned within six months. We do the opposite -- find the load-bearing risks first, design systems your existing team can actually run, and build for governance from day one, so what you ship holds up when a client, a regulator, or opposing counsel asks how it works. Every system is deployed inside your own environment. Your data stays yours: traceable, logged, access-controlled, and built to survive an audit. Founded by Kyle Cedric Hanna, an AI engineer and data scientist whose work has been embedded with the University of Chicago and 30+ research and innovation offices. Start with a free AI-Readiness Assessment at kylecedrichanna.com.