We are in Vancouver, British Columbia, and have been building software for clients since 2003. We work with companies across North America - most of our engagements run remotely on Pacific time, which overlaps the whole continent. For hardware, kiosk and installation work we can be on site anywhere in the Lower Mainland, and we travel for deployments elsewhere.

No. We are based in Vancouver but serve clients across Canada and the United States. Web, mobile, cloud and data work is location-independent, and Pacific time means we overlap with Eastern-time teams for most of their working day. The only work that benefits from proximity is physical: connected hardware, kiosks and installations that need someone in the room with the device.

AI tooling is part of our toolchain the way a compiler and a test runner are. It generates scaffolding, migrations, test fixtures and boilerplate; it shortens the weeks normally spent reading an unfamiliar codebase; and it runs an automated review over every change before a human sees it. What it does not do is decide architecture or ship unreviewed. An engineer reads, tests and owns every line that reaches your repository.

It moves budget from typing to judgement. The parts that are cheapest to generate - boilerplate, fixtures, migrations - stop consuming billable hours, so more of the engagement goes into architecture and the decisions that are expensive to get wrong. The second effect is coverage: the edge-case tests everyone agrees should exist actually get written, which shows up later as fewer regressions rather than as a line item.

Not if it is treated like any other code. Generated code goes through the same review, the same tests and the same standards as handwritten code, and nothing lands that we could not explain in a code review. If your organisation needs source kept out of third-party tools entirely, say so at kickoff and we work that way instead.

Websites and web applications, iOS and Android apps, IoT and embedded systems on Raspberry Pi, BeagleBone, Arduino and ESP32, unattended kiosks, cloud platforms with observability, and data and AI pipelines. We also do legacy modernization - moving off a system that works but is holding the business back, incrementally rather than with a big-bang rewrite.

Whichever one fits the problem and your team can maintain after we leave. In practice that is often React or Next.js with TypeScript on Postgres, but we work across Vue, Svelte, Node, .NET, Go, Python, Laravel and Rails; Swift, Kotlin, React Native and Flutter on mobile; and C, C++, Rust and MicroPython on devices. If your existing stack is fine, we will tell you that rather than sell you a rewrite.

It depends on scope, and we will not pretend otherwise before understanding the work. What we can promise is that you get a written plan with a stack, a sequence and a number before you commit to a build. Discovery is fixed-scope, so the first engagement has a known cost even if the build that follows does not yet.

Typically about four weeks to something running in a staging environment, then weekly after that. Work lands in small reviewable increments behind CI rather than arriving as one delivery at the end.

You do, from day one. Code lives in your repositories and infrastructure runs in your cloud accounts - not ours. Every engagement ends with a documented handover and a support window. The goal is that you do not need us for the next thing.

We work alongside them. Most engagements involve pairing and code review with your engineers, and your team should be more capable at the end than at the start. We are not a body shop and we do not staff a pitch with principals and deliver with juniors.

Yes. Every engagement includes a support window after handover, and longer-term arrangements are available where it makes sense - particularly for connected hardware in the field, where over-the-air updates and fleet monitoring are ongoing concerns rather than launch tasks.