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// SERVICE_BACKEND

Backend & API Development

The reliable services and APIs the rest of the product runs on.

The engine room: the services, APIs, and data your product runs on.

What it is

We build the part of the system users never see but always feel — the services that hold your data, enforce your rules, and let your applications and partners talk to each other reliably.

Why you might need it

Your app is slow, your data is inconsistent, or every new feature breaks something else. Usually that is not a front-end problem — it is the foundation underneath needing to be built or rebuilt properly.

What we build

[01]

APIs your systems can rely on

Documented, versioned interfaces your apps and partners can build against safely.

[02]

Data that stays correct

A structure that keeps information consistent as the product and the team grow.

[03]

Built to stay up

Tested behaviour, sensible limits, and monitoring so problems surface early.

[04]

Room to add

Structured so new capability slots in without unpicking what already works.

AI where it earns its place

The retrieval, tool interfaces, queues, and data access that AI features need to work against real systems.

Where it fits

Product & platform backends
Public & partner APIs
Data modelling & migrations
Service rebuilds
Backends for AI features

How we approach it

  1. Step 01

    Model the data first

    Get the structure right early; it is the expensive thing to change later.

  2. Step 02

    Define the contract

    Documented API behaviour agreed before the clients are built against it.

  3. Step 03

    Instrument from the start

    Logging, metrics, and alerts shipped alongside the service, not bolted on.

Scope, timeline, and team size are agreed per project. See how we work for the full delivery process.

Relevant technologies

Chosen per project against what you already run. This is what the work usually involves, not a fixed stack you have to adopt.

Services
REST and typed APIs, background jobs, queues, scheduled work
Data
Relational databases, schema migrations, caching, search indexes
Reliability
Automated tests, rate limiting, retries, structured logging and metrics
Security
Authentication, authorization, secret handling, audit trails

Example scenarios

Situations this service is built for. Illustrative examples of the kind of problem we solve — not named client engagements.

  • 01For a product whose database was never designed for its current sizea data layer rebuilt before it fails.
  • 02For a company whose partners want to integratea documented public API that is safe to expose.
  • 03For a team where every release breaks somethingservices with real test coverage and clear boundaries.
Next step

Tell us what
you need built.

A few sentences about the problem is enough. We will come back by email with what the work would involve.

Start Your Project