Services — 04

QA & Test Automation

Automated regression, API, performance and real-device mobile testing, wired into your pipeline so a release stops waiting on a person working through a checklist. This is the discipline the company was built on.

What we build

What we build

Chosen to fit your stack, not our preference. Ask about anything you do not see here.

Regression suites

The journeys that lose money or block a release, automated end to end and run on every merge.

API and contract tests

Tests against the services themselves, which catch more than a UI suite and run in seconds rather than minutes.

Mobile on real devices

Android and iOS on a real-device cloud, because a simulator will not tell you what a mid-range handset does.

Performance and load

Soak and load testing against the paths that matter, with numbers showing what breaks and at what point.

Accessibility testing

WCAG checks automated into the pipeline, plus the manual work — keyboard, screen reader, reading order — that tools cannot cover.

CI/CD integration

Suites running on every merge with artefacts, traces and screenshots when something fails.

Test data management

Repeatable fixtures and environment seeding, so a failure means a bug rather than stale data.

Flake triage

Quarantine, root-cause and a written rule for when a test gets deleted. Suites die of flakiness, not missing coverage.

What we have done

Where this has been used

Healthcare

A surgical scheduling platform whose manual regression was blocking weekly releases. The booking and alert workflows went into CI.

Clinical research

An eClinical platform needing automated evidence across web, Android and iOS on real devices for a HIPAA audit.

Lending

A lending pipeline covered from the money logic through to the borrower’s phone — unit, mobile automation and BDD for the admin portal.

How it runs

How we start

Three stages, and the first is not writing tests.

  1. Find out what actually breaks

    We read your defect history and watch a release before automating anything. Automating the wrong journeys is how suites end up ignored.

    Evidence, not guesswork
  2. Automate the critical path

    The journeys that lose money or stop a release, running in CI from the first week so the value is visible immediately.

    Running in your pipeline
  3. Hand it to your team

    A suite only we can maintain is a liability. Your engineers get the patterns, the documentation and the training to extend it.

    No dependency on us
Common questions

Questions we get asked

Which framework do you use?

Whichever suits your stack — Playwright, Cypress, Selenium, Appium. We will not ask you to change language to suit us.

Can you work with our QA team?

Usually that is the point. We build the framework and the patterns, and your team owns it afterwards.

How soon do we see anything?

Tests running in CI within the first two weeks, on the journeys that matter most.

What about our existing suite?

We will tell you honestly what is worth keeping. Often a good deal of it, with the flaky parts triaged rather than rewritten.

The other 7

Rarely bought on its own.

Most teams need two or three of these together. Take the layer you are missing, or the whole stack.

AI Agent Development

Build agents that complete real work end to end — read the case, apply your policy, take the action and record why. Not chatbots that answer questions about the work.

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AI Assurance & Evaluation

Prove how an AI system behaves before it goes live, and keep proving it afterwards. Evaluation suites, adversarial testing and drift monitoring built from your own cases.

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Custom Software Development

Build and modernise web, mobile and internal platforms, wired into the core systems you already run rather than sitting beside them.

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Compliance & RegTech Automation

Automate regulatory reporting, financial crime operations and statutory filings — behind maker-checker, with an audit trail a regulator will accept.

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WhatsApp AI Assistants

Put an agent on the channel your customers already use. Booking, support and follow-up over WhatsApp, handed to a human the moment it should be.

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Workflow Automation

Connect the tools you already pay for and let agents run the steps between them — on a schedule, on a trigger, or on approval.

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Private Decision Models

Small, private AI models that make one decision well — route, classify, triage — with a confidence score your team can trust. Runs inside your network.

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Tell us what is slowing you down.

Half an hour, no deck. Describe the process and we will come back with whether it is worth automating, roughly what it would take, and what we would build first — or tell you plainly if it is not a job for us.