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Software engineering

QA and test automation

Testing that finds defects before your customers do

Test strategy, automated suites, and performance and security testing, built into the delivery pipeline.

Overview

Manual regression testing slows every release and still misses defects. Testing only at the end turns small problems into late, expensive ones. Quality has to be built into the way software is delivered.

We write a test strategy that fits your risks, then automate it: unit and API tests that run on every change, end-to-end tests of the journeys that matter most, and performance, accessibility and security checks in the same pipeline. Manual and exploratory testing remain, aimed where people find what scripts miss.

We test integrations as carefully as screens. For payment, banking and ERP flows that means test data that covers rejections and edge cases, partner sandboxes and simulators, and checks that totals reconcile at the end.

What we deliver

  1. Test strategy

    Which risks are tested, at which level, by whom and how often, agreed with your product and engineering leads.

  2. Automated test suites

    Unit, API and end-to-end tests in your repository, readable by your engineers and run on every change.

  3. Quality gates in the pipeline

    Tests, coverage and scans that stop a release when they fail, with results visible to everyone.

  4. Test data and environments

    Realistic, anonymised test data and environments that can be reset, so tests give the same answer every time.

  5. Performance test results

    Load and stress tests of the critical journeys with k6 or JMeter, showing where the system slows and why.

  6. Security test results

    Automated scans with OWASP ZAP and dependency checks, with findings ranked and tracked until they are closed.

  7. Accessibility checks

    Automated axe-core checks and manual testing against WCAG 2.2 AA for the key journeys.

  8. Quality reporting

    Defect trends, test results and release readiness in one place, for every release.

How we work

  1. 01

    Assess

    We review your current testing, recent defects and release process, and find where problems escape.

  2. 02

    Plan

    We write the test strategy and agree which journeys and risks to automate first.

  3. 03

    Automate

    We build the suites and the test data, and wire them into your pipeline as quality gates.

  4. 04

    Extend

    We add performance, security and accessibility testing, and integration tests against partner sandboxes.

  5. 05

    Keep the suites healthy

    We fix unstable tests quickly, retire those that no longer earn their place, and train your team to own the suites.

Technologies

DevOps and observability
  • GitHub Actions
  • GitLab CI/CD
Testing
  • Playwright
  • Cypress
  • Selenium
  • Appium
  • Jest
  • JUnit
  • pytest
  • k6
  • Apache JMeter
  • Postman
  • OWASP ZAP
  • axe-core
Design and accessibility
  • WCAG 2.2

Ways to work with us

Questions and answers

Should we automate all our tests?

No. Automate what runs often and must give the same answer every time: unit tests, API tests and the end-to-end journeys that matter most. Keep people for exploratory testing, usability and new features that are still changing. A smaller suite that runs on every change and never fails at random is worth more than a large one nobody trusts.

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Which test tools do you use?

We use the tools that fit your stack and your team: Playwright or Cypress for web end-to-end tests, Appium for mobile, Jest, JUnit or pytest for unit tests, Postman for API checks, k6 or JMeter for performance and OWASP ZAP for security scans. We keep the tests in your repository and in your engineers’ language where we can, so they can maintain them.

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What drives the cost of test automation?

The number of applications and journeys in scope, how testable the current code is, the state of your test data and environments, and how many integrations need simulating. An older application without stable test hooks takes more effort than a new one built with testing in mind. We start with the highest-risk journeys, so the value arrives early.

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Can you work with our existing QA team?

Yes. We often join an in-house QA team to add automation skills, take on performance or security testing, or cover a busy period. We agree how the work is split, use the same tools and backlog, and train your testers to extend the suites we build.

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How do you test integrations with banks, payment providers or ERPs?

We use the partner’s test environment or sandbox where one exists, and simulators where it does not, so tests can run on every change without depending on a third party. Test data covers the unhappy paths: rejected payments, timeouts, duplicate messages and partial failures. End-to-end checks confirm that totals reconcile across systems, not only that each call returned a success.

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What happens when automated tests become unreliable?

We treat an unreliable test as a defect. It is set aside so it cannot block releases, its cause is found and fixed, and it comes back. Common causes are shared test data, timing assumptions and unstable environments. We track test stability over time, so the suite stays one your team can trust.

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How will we see progress?

You have a named delivery lead and a regular rhythm: planning at the start of each iteration, a demonstration of working software at the end, and a short written report on progress, risks and decisions. You can see the backlog, the code repository and the test results at any time. Steering meetings with your sponsors are held at an interval you choose.

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Tell us what you need to build or connect.

Describe the systems, the timeline and the constraints. The right engineers take it from there.

  • Our team will call you within 24 hours during your preferred time slot
  • Our team is available 24/7