Most web application work is not greenfield. There is a system that still just about works, a spreadsheet quietly holding a department together, or a product that outgrew the platform it was prototyped on. We build the replacement without stopping the business that depends on the original.
Different audiences, different failure modes. What they share is that the interesting problems are behind the interface.
High-traffic products where sign-up, checkout and page weight decide the revenue. Built to hold up on a mid-range phone over a poor connection, because that is the device and network most of your users actually have.
Portals, dashboards and ordering systems your customers log into. Tenancy, roles, audit trails and reporting are structural decisions here, so they are designed at the start rather than bolted on in the release before go-live.
When the requirement genuinely is a marketing site with commerce attached, WordPress is the pragmatic answer. Done well means a maintained theme, a hardened plugin set and a real update path — not a page builder nobody dares touch.
Named up front, because avoiding them is most of the value.
A rewrite that needs a big-bang cutover tends never to happen. We plan for both systems to run side by side and for traffic to move across in stages, so a bad week stays reversible.
Twelve years of records that never quite matched the schema are why migrations slip. Profiling the real rows early costs days; discovering them over a cutover weekend costs the launch.
An access model assembled per request becomes something nobody can reason about, and eventually an incident. Writing it down before the build is a day that saves a quarter.
A platform proven by five internal testers behaves differently under a launch campaign. Load belongs in the architecture conversation, not the post-mortem.
Every phase is run by senior engineers and ends in something you can see.
We read the system you already have — schema, integrations, traffic, and the manual workarounds staff have invented — before proposing anything to replace it.
Data model, tenancy, roles and integration boundaries agreed and documented, because these are the decisions that are expensive to revisit.
Clickable flows for the journeys that carry the business, tested with the people who will use them daily rather than the people who commissioned the project.
Each sprint ships a complete feature, schema through interface, into a staging environment you can log into — so progress is something you use, not a percentage in a report.
Extract, transform and load run repeatedly against copies of production until the dress rehearsal is dull. Then the real cutover is staged, timed and reversible.
Load and security testing, monitoring and alerting, runbooks, then repository and documentation handover to whoever operates it next — us or you.
Four platforms in production. Two of them we still operate.
An e-commerce platform with live order tracking, payment and SMS gateways, and automated reporting across three Canadian provinces.
A two-sided marketplace on Angular and Node.js, with admin control over parameters, clients, suppliers and reporting.
A publishing platform we built and still run — persistent identifiers, harvesting endpoints and an editorial workflow that works.
A second platform, deliberately isolated from the first, with its production line rebuilt to publish four times as often.
Chosen per project, and for what your team can maintain afterwards.
Usually, by running old and new in parallel and moving traffic across in stages instead of flipping a switch late on a Friday. It costs more in planning and far less in recovery. Where a hard cutover genuinely cannot be avoided, we rehearse it against production copies until the timings are boring.
It comes with you, and it is normally the longest part of the job. We profile the actual rows early rather than the schema documentation, because that is where the surprises live. Migration scripts are written to be re-runnable, so the real cutover is a repeat of something already done a dozen times.
Yes. Whether tenants are separated by row, by schema or by database is an early architectural decision with consequences for cost, isolation and every compliance conversation you will later have — so it is decided deliberately and written down. Our post on building scalable SaaS covers the trade-offs.
That is the intent. Conventional framework choices over clever ones, tests that run in your CI, infrastructure defined as code, and documentation written for the engineer who joins after we have gone. The repositories and cloud accounts are yours throughout, not just at the end.
Yes, and it is often the better arrangement. Team extension puts our engineers inside your process and your repositories; a dedicated team runs delivery while your people stay close to it. Both models are described on our services page.
Scope, integration count and how much of the requirement is already settled drive it — not a rate card. Our consultation page sets out the six factors that move the number most, and a call turns them into a range for your project.
Senior engineers directing autonomous agents that plan, write and test in parallel — with a named human accountable for every release.
Sales Cloud, Service Cloud and marketing automation configured around how your business really sells — with adoption as the deliverable.
Solution, visual and interaction design handed over as a system engineers can build from — accessibility designed in, not audited later.