Primary Job Title Founder & CEO Primary Organization APERION
Location New York, New York, United States Regions Greater New York Area, East Coast, Northeastern US Gender Male
Investor Stage
Website aperion.ai LinkedIn View on LinkedIn X (Twitter) View on X
Regulated enterprises cannot govern AI they don't own. Banks, insurers, healthcare systems, the institutions with the most to lose from ungoverned AI, are the ones cloud governance was never built for. That's the problem I'm solving.
I'm the Founder and CEO of APERION, the Enterprise AI Trust Fabric for regulated industries.
SmartFlow, our runtime governance control plane, enforces policy on every prompt, every response, and every tool call, built for sovereign, on-premises deployment. Kubernetes-native. Policy-enforced. Audit-ready. Shield, our open-source MCP middleware, is its front door. Five patents filed across runtime governance, identity binding, and audit evidence.
My path to this problem wasn't accidental. I built GE's identity management and entitlements infrastructure before Active Directory existed. I drove AI infrastructure and knowledge management programs for Goldman Sachs, UBS, and CSFB through Accenture and IBM. Twenty-five years of executive technology relationships inside the institutions at the center of this problem.
That's the origin behind APERION. Not a pivot into AI. A straight line from identity governance at GE to AI governance at the runtime layer, for the same class of enterprises, facing the same class of risk.
The thesis is simple. Cloud-based AI governance will never satisfy a Tier 1 bank or a regulated healthcare system. The model, the policy engine, the audit trail, all of it has to live inside the enterprise perimeter.
If you're building in this space, or deploying AI inside a regulated enterprise, I want to talk.
