I build software that removes the manual work hiding inside how businesses operate.
I'm Roman — a builder and operator with nearly a decade in cybersecurity, governance, risk, and compliance. I find the slow, manual, error-prone work buried inside how real businesses run, and I build software that makes it disappear. Linganore Technologies is the studio where I'm doing that across several industries at once.
I build small, sharp products that take a painful manual process — pricing reviews, document analysis, compliance checks, the spreadsheets-and-email machinery that runs quietly inside real businesses — and turn it into something fast, repeatable, and AI-native. I work full-stack and ship with AI-assisted, agentic development, which lets one person move at the speed of a small team. The goal is always the same: less busywork, more leverage.
Products
Leo for Deathcare
A compliance workspace that checks a funeral home's price lists against the FTC Funeral Rule before a regulator does.
Leo
The platform behind the suite — AI-native compliance automation built on public frameworks like SOC 2, ISO 27001, and NIST.
Solo speed, team standards
AI in the loop
Agentic, AI-assisted development is core to how I build and what I build. AI reasoning is core to the product architecture, not a feature bolted on afterward.
Ship narrow, ship real
One sharp product beats one bloated platform. I start with the most dreaded manual process, scope it tight, and put a real MVP in front of real users.
Production patterns, day one
Modern stack, multi-tenant architecture, real auth, secure document handling, and evaluation harnesses — even at MVP stage.
A portfolio of focused software products
Linganore Technologies is a one-person software studio. The thesis: there are dozens of narrow, underserved operational problems across industries — each big enough to support a focused micro-SaaS, and small enough for the big platforms to ignore. AI changes the economics of building them.
Notes from the workbench
Teaching an AI agent to read a 90-page PDF and cite its sources
Page-aware extraction with citation validation, and why "trust me" output is unshippable in compliance software.
One engine, every edition
The shared document-understanding pipeline behind the Leo suite — and the discipline to keep it generic instead of fork-per-product.
Structured JSON as a contract between the model and the app
Why I make the model return strict schemas instead of prose, and what that buys in reliability and testability.
Building a portfolio of focused software products, one at a time.
Linganore Technologies is a studio for shipping useful software fast — products that earn their place by removing real work. If that's something you want to follow, build on, or talk about, the door's open.