About Hulbon
AI workflow risk review before consequential funding, customer, enterprise, or audit-prep events.
Hulbon is one focused operating surface for a larger goal: use AI, software, and automation to reduce fear and scarcity, widen human agency, and help people build systems that can live in better harmony with each other and the world. The commercial work begins where that belief meets buyer reality: fractional AI/Tech CTO and technical due-diligence advisory for founders, CTOs, and investors — and durable review-event work for AI in regulated and high-consequence workflows.
Operating model
Named senior expert. Judgment plus implementation. Two speeds.
The market has plenty of AI strategy slides. The harder problem is senior judgment formed at regulated scale — someone who can both assess an AI system and fix what is broken before the review that decides the outcome. Hulbon is that person.
Why this judgment is credible
Judgment formed where software had consequence — $2B+ regulated scale, national-government systems, founder-built agentic AI.
Giorgi Koranashvili brings 20+ years across regulated healthcare/PBM platforms, national-government secure-systems leadership, financial workflows, cloud modernization, and founder-built agentic-AI product systems. His work has been shaped by environments where software had real consequences: who could access what, what evidence existed, which actions could be trusted, and how workflows held up under audit and operational pressure.
$2B+ Healthcare/PBM Platform Scale
Senior Principal Engineer at Magellan Health / Prime Therapeutics (2020–2025): architected a multi-tenant financial platform processing $2B+/yr for CVS, Walmart, and 11 state Medicaid programs in a high-consequence healthcare/PBM context. The verifiable anchor is regulated-scale architecture, access boundaries, audit evidence, and operational discipline.National-Government Secure-Systems Leadership
Senior technical leadership building and operating complex secure systems where reliability, access boundaries, audit evidence, and operational continuity carried national-level stakes. That discipline — access control, evidence handling, operational trust under pressure — shapes every engagement.Founder-Built Agentic AI
Personally architected Lantanios: a live multi-tenant platform with Stripe Connect payouts, multi-tenant isolation, a site-scoped AI composer gated by role and approval, and multi-model agentic AI (OpenAI, Anthropic, Groq). The exact patterns this review looks for, solved in a system I built and run myself.People
A small operating surface for a larger mission.
Hulbon is intentionally small because the work requires close judgment, careful evidence handling, and communication that does not turn complex systems into slogans. The point is not to sell activity; the point is to help serious teams make better decisions before consequential review events.
Head of Hulbon
Giorgi Koranashvili
Giorgi's work is aimed at trustworthy AI systems that reduce fear, widen agency, and make practical abundance safer to build. Hulbon is one focused vehicle for that work.Communications and operations
Natia Tchokhonelidze
Communications and operations partner supporting Hulbon's buyer-facing communication, positioning consistency, launch coordination, and operating follow-through.Selective work
Best fit: founders, CTOs, and investors who need senior AI/tech judgment at regulated scale.
The strongest engagements involve a founder or CEO who needs ongoing fractional AI/Tech CTO leadership; an investor or acquirer who needs clear-eyed technical due diligence on an AI build; or an enterprise or regulated-workflow team whose AI system needs a clear technical story before a security review, audit-prep conversation, or funding event. If the stakes are real and a named senior expert matters, that is the fit.