Services
Four practices, one delivery model.
Whichever practice an engagement starts in, it is staffed from the same bench, run on the same two-week cadence, and reports the same numbers. 27 services below — but the thing being bought is always continuity.
Product Engineering
Software your customers touch. We scope with the engineers who will build it, ship in two-week increments, and stay on the account after launch.
Category overview- Product strategy & discoveryTwo to four weeks to a scope the build team will stand behind.
- UX/UI designInterface work done against the real data model, not a happy-path mockup.
- Web application developmentLong-lived web platforms, built to be handed over.
- Mobile application developmentiOS and Android, native or cross-platform, with a release train.
- MVP & 0→1 buildThe smallest thing that proves the business case, built to survive if it works.
- Platform modernisationMoving off the thing that is holding you back, without a freeze.
- QA & test automationA suite the team trusts enough to deploy on a Friday.
AI Engineering
Applied AI that reaches production. Most of this work is evaluation and plumbing rather than models — which is why it ships.
Category overview- AI readiness & roadmapAn honest read on what your data and team can support this year.
- LLM application developmentProducts built on language models, with evaluation from day one.
- AI agents & workflow automationAgents scoped to a task with a defined failure mode.
- RAG & knowledge systemsRetrieval over your own corpus, measured on answer quality.
- Machine learning & data scienceModels where a model is genuinely the right answer.
- MLOps & evaluationThe harness that tells you a change made things better.
- AI governancePolicy, audit trail and human review, written for a regulator.
Data & Cloud
The layer underneath. Pipelines, platforms and the operational discipline that keeps them running when nobody is watching.
Category overview- Data engineeringPipelines that reconcile, with lineage you can show an auditor.
- Analytics & BINumbers the business agrees on before the meeting starts.
- Cloud architectureDesigned for the bill as well as the load.
- Cloud migrationMoved in slices, with a rollback at every step.
- DevOps & platform engineeringPaved roads, so product teams stop reinventing deployment.
- Reliability & observabilityYou find out before your customers do.
- FinOpsCloud spend attributed to the teams that cause it.
Teams & Delivery
How the people are arranged. Named engineers, a reporting cadence, and continuity measured rather than promised.
Category overview- Dedicated squadsThree to eight people working only on your platform.
- Embedded engineersOur engineers inside your team, under your technical lead.
- Offshore delivery centreA standing team in Pakistan, on your process and your tooling.
- Technical advisoryA second opinion from people who will have to live with the answer.
- Support & maintenanceNamed owners, published response times, no ticket roulette.
- Security & compliance engineeringThe evidence a third-party risk review actually asks for.
The difference
Five things most firms will not put in writing.
We name the engineers.
You meet the squad before you sign, and the names on the proposal are the names in the standups.
We publish the numbers.
Lead time, release cadence and uptime go in the monthly report whether or not they flatter us.
We stay past launch.
Most of our work is month thirteen onward. Launch is the middle of an engagement, not the end.
We tell you what went wrong.
Every retro that reaches you includes the things we got wrong and what changed afterwards.
Your data sits where you need it.
Infrastructure is built and held in the country you choose, and the regions are written into the contract rather than described on a web page.
Start a conversation
Tell us what you are trying to ship.
You will get a reply from an engineer, not a form handler. If we are not the right firm for it, we will say so and tell you who is.