Building the compliance layer
for AI agents.
Security tools grew up. Compliance didn't. Every serious AI deployment runs inputs through a mature security stack — but almost nothing inspects what the agent says back. Regulators don't fine you for the prompt; they fine you for the answer.
Reglint sits between your AI agent and your user and enforces the law on every output — 50+ violation patterns across five regulated areas, each decision backed by a specific citation. We built it because the tools that exist are priced for the Fortune 500, and everyone else is left exposed.
In Athens, the owl belonged to Athena — goddess of wisdom, and in myth the founder of the first court of law. It watched every angle, quietly, missing nothing. That's the idea behind Reglint: a layer that sits inside your AI system and watches every output — calmly, completely — against the law.
Founders
Cloud AI engineer with a U.S. federal-government background. M.S. in Cloud Computing — President's List, Phi Kappa Phi. Leads Reglint's architecture, AI integration, and regulatory coverage.
Full-stack engineer and systems thinker with deep experience in distributed backend architecture. Builds the enforcement engine and API layer that keeps every Reglint decision fast, deterministic, and citation-backed.