01
Product builds
Architecture, data model, interface and first release. A working system rather than a prototype that has to be built again properly.
Capability / Full stack
Products built from a blank page, existing systems extended, and the APIs, integrations, infrastructure and pipelines that keep both of them running.
Coverage
The same team that designs the data model deploys the thing. Architecture decisions that nobody has to operate tend to be the expensive ones.
01
Architecture, data model, interface and first release. A working system rather than a prototype that has to be built again properly.
02
Internal and public APIs, versioned and documented, with the contract agreed before the code rather than inferred from it afterwards.
03
Third-party services driven from inside your product, with retries, idempotency and failure states an operations team can act on.
04
Environments, networking, storage and secrets defined as code, so the next environment is a command rather than somebody remembering.
05
Build pipelines, automated checks, staged deployment and the monitoring that tells you a release went wrong before a user does.
06
Systems already in production taken forward: platform and dependency upgrades, restructuring, and paying down what blocks the roadmap.
Depth
From a first release to the unglamorous work of keeping a live product current.
| Type of work | What it involves | How it is engaged |
|---|---|---|
| A product from nothing | Architecture, data model, build and first release, held by one accountable team rather than split across suppliers. | Project delivery or managed pod |
| Capacity on a running product | Engineers into your backlog, your standards and your definition of done, without a discovery phase first. | Dedicated people |
| An integration layer | Third-party services, credentials, rate limits and reporting absorbed by the platform so operators work in one place. | Project delivery |
| Infrastructure and pipelines | Environments as code, continuous integration, staged deployment and monitoring, handed over documented. | Project delivery or dedicated people |
| Keeping it running | Dependency upgrades, incident response and the steady stream of small changes a live product generates. | Dedicated people, business as usual |
Technology and people
Where you already have a stack, we staff to it. Where the choice is open, we pick what your team can maintain after we hand it over.
Inside your team
We do not ask a client to adopt our way of running delivery. The engineers work the way your team already works.
Engineers work in your repositories under your branching model. Nothing merges outside the review gates your own team works to.
We adopt the standard you already hold your own engineers to, whatever it includes: tests, documentation, accessibility, performance budgets.
Work is tracked where your team tracks it, demonstrated in the ceremonies you already run, and reported at your cadence.
Proof
We describe the work, not the client.
What it evidences
A campaign platform that runs United States marketing campaigns from one portal and generates image and video advertisements through engines we built and own.
Read the case studyAn MRP system in use at a company operating under FDA compliance requirements, covering product lifecycles, orders, workstations and audit trails.
Read the case studyCurryDash was our own food ordering and delivery marketplace for local curry shops, built around dish-level customisation rather than a fixed menu.
Read the case studyNext step
Whether it is a product to build or capacity on one you already run, you will get named engineers, seniorities and a start date.