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Build · Custom Software & Cloud

Custom software and cloud platforms

We build the software that does not come off a shelf — internal systems, integrations and the cloud platforms they run on, each solving a named problem.

Typical timeline: 8-24 weeks depending on scope and integration surface

Illustration: Custom Software & Cloud

Deliverables

What you get

Concrete outputs, agreed in writing before work starts.

  • Enterprise application development
  • API design and development
  • System and third-party integration
  • Legacy system modernisation
  • Cloud architecture on AWS or Azure
  • CI/CD, monitoring and infrastructure as code

Who it is for

Is this you?

  • Operations running on spreadsheets and copy-paste
  • Companies whose systems do not talk to each other
  • Teams stuck on a legacy platform they cannot replace in one go

How we work

From first call to live product

  1. 01

    Discover

    We learn the problem, the users and the constraints, and tell you what we would and would not build.

  2. 02

    Design

    Flows and screens designed with the engineers in the room, so what you approve is what ships.

  3. 03

    Build

    Short cycles with a working build you can try every week, not a reveal at the end.

  4. 04

    Launch

    Store submission or deployment, monitoring switched on, and a rollback ready.

  5. 05

    Support

    OS upgrades, platform deadlines and new features, on a schedule rather than in a panic.

Custom software is worth building when the process it supports is genuinely specific to your business. When it is not, configuring an existing product is cheaper and we will say so.

What we actually do

Internal systems that encode how your business actually works, rather than forcing the business to work the way a generic tool expects.

Integration between systems that were never designed to talk to each other. This is unglamorous and frequently the highest-value work available, because the cost of manual data movement between systems is usually invisible until someone measures it.

Legacy modernisation, incrementally. Replacing a working system in one release is how modernisation projects fail; strangling it gradually is how they succeed.

When the problem is better solved with a language model — drafting, classification, extraction — that work lives under AI integration and automation.

Cloud and operations

Software that cannot be deployed reliably is not finished. Infrastructure, CI/CD and observability are part of the build: AWS or Azure, automated deployment, and enough monitoring to know something broke before a customer tells you.

Other services

Let's talk

Tell us what you are building

Send us the scope and we will come back with an honest assessment: what it takes, roughly what it costs, and whether we are the right people for it.

  • A written reply from an engineer
  • No call required
  • No obligation