Software that ships, then runs.
We build operational systems for businesses that need something specific enough that off-the-shelf software doesn’t fit. Each entry below says plainly where it stands — in production, in pilot, or in build.
LPSecure
The problem
What we built
Where it is
Mid-market chains can see shrink in the P&L but not in the data.
Daily POS analytics plus integrated case management, POS-agnostic by design.
Running with a convenience-store operator today.
Loss prevention · in production
A loss-intelligence platform for convenience-store chains. It reads point-of-sale transaction data every day, surfaces the patterns that indicate employee theft, ranks which stores and employees carry the most risk, and carries each case through investigation to recovery.
OwnAI
The problem
What we built
Where it is
Regulated organizations can’t put privileged or protected material into a public AI service — so they either forgo it, or it happens unsupervised.
A deployment that trains on their documents and stays within a boundary they already control and audit.
Built and demonstrable. Ready for a first deployment.
Private AI · ready to deploy
An AI assistant trained on an organization’s own documents that runs inside a boundary they control — their servers, their own cloud tenancy, or a hybrid they define. Their documents stay where they put them. Built for healthcare, legal and financial services, where the answer to “can we use AI on this?” is otherwise no.
Consulting
The problem
What we do
Where it fits
Off-the-shelf software forces you to work its way, and a vendor won’t build your exception. The alternative is usually a spreadsheet nobody owns.
Design and build the system, ship it into daily use, and keep it running. Small enough that you talk to the people writing the code.
Operational software a business depends on — the kind that has to work on a Monday, not just demo well.
Custom builds · ongoing
Both products above started as someone’s unsolved problem. Most of our work still does — building the system a business needs when nothing on the market fits how it actually operates, then staying with it once it’s running. We write software; we don’t write recommendations.