End of Line Software, Inc. is a small consultancy in Canada. We build SaaS,
the platform underneath it, and the applied AI inside it — for teams who care
how a system ages. The name is a nod to EOL — the boundary between
one line of code and the next. Beyond that boundary is where we work: choosing
projects that make real, day-to-day differences in people's lives, and handling
the engineering that keeps them running.
Founder of End of Line. Started in customer support — an experience that still shapes how he works: listen first, build what actually helps. Spent years as a senior engineer on a multi-million-user SaaS product, working on the parts of the system that decide whether it can be trusted at scale — identity, performance, and the operational layer that holds up under load. From there, into the platform and tooling work that quietly makes engineering teams faster and incidents shorter.
More recently, shipping production AI inside real products — not demoware, but the kind that has to keep working in front of paying customers.
The first job in any engagement is to understand what you actually need. Sometimes that is what you asked for; often it is something next to it. Either way, we are not useful until we have done the work to find out.
A project is done when it works, not when the time runs out. If we are wrong about scope, we say so.
That engineer is often us. Boring, well-bounded code beats clever code that nobody wants to touch.
A small studio is only useful if its judgment can be trusted. We turn down work outside our depth.
Shared repos, shared docs, shared decisions. Nothing useful happens in a black box.
Tests come before code, then the code that makes them pass. CI green before review, before merge, before deploy. Untested work is not done — it is owed.