Regressions after every release
Features that used to work break silently, and users report them before the team notices.
Custom Software · Testing & QA
Software testing and QA services that make releases boring
We design a test strategy for your application, automate the checks that should run on every change, explore the product the way real users will, and test performance before traffic finds the limits for you.
What is Software Testing & QA?
Software testing and QA services are the planned activities that verify an application works as intended and keep it working as it changes. They combine a test strategy, automated tests at the unit, integration and end-to-end levels, manual exploratory testing by people who think like users, and non-functional checks such as performance and accessibility. Good QA is built into the development process rather than bolted on at the end.
When testing is an afterthought, every release is a gamble: a fix in one area breaks another, regressions reach customers, and developers become reluctant to change anything. Adding more manual testing before each release slows delivery without reliably catching problems. What works is a deliberate mix: fast automated tests that run on every change, focused end-to-end checks on the journeys that matter most, and human exploration where automation is weak.
Why releases keep breaking things
Manual testing that does not scale
Release checklists grow longer each cycle, and testing becomes the bottleneck to shipping.
Flaky or untrusted automated tests
Tests that fail randomly get ignored, so even a real failure no longer stops a bad release.
Performance problems found in production
The application works for a handful of users and slows down or fails under real load.
Our Software Testing & QA service
Test strategy & QA audit
Review of existing tests, risk areas and release process, followed by a written strategy: what to test, at which level, and how often.
Unit & integration test automation
Fast tests for business logic, APIs and database interactions that developers run locally and CI runs on every commit.
End-to-end test automation
Browser-based tests with tools such as Playwright or Cypress that cover the critical user journeys from sign-in to checkout.
Manual exploratory testing
Structured sessions where testers probe new features, edge cases and usability the way real users would.
Performance & load testing
Scripts that simulate realistic traffic to find slow endpoints, capacity limits and bottlenecks before launch.
CI/CD integration & reporting
Tests wired into your pipeline as quality gates, with clear reports on failures, coverage trends and flaky tests.
Included capabilities
- Risk-based test planning
- Unit and integration test suites
- Playwright or Cypress end-to-end tests
- API and contract tests
- Cross-browser and device testing
- Load and stress testing
- Accessibility checks
- Test data management
- Bug reports with reproduction steps
- Quality gates in CI pipelines
What Software Testing & QA changes for your business
Confident releases
Automated checks catch most regressions before deployment, so releases become far less stressful.
Faster delivery
Developers get feedback in minutes rather than waiting for a manual test cycle.
Cheaper fixes
Defects found during development cost far less to fix than defects found by customers.
Known performance limits
You know how much load the system handles before real traffic tests it for you.
Where it makes the biggest difference
Pre-launch QA
Independent testing of a new product or major release before it reaches customers.
Adding tests to an untested codebase
Building a safety net of automated tests so an existing system can be changed with confidence.
Regression automation
Replacing long manual release checklists with automated suites that run on every change.
Capacity checks before peak periods
Load testing ahead of sales, admissions or seasonal peaks to find limits in advance.
Building a test strategy that holds up
Start with the riskiest areas, automate what repeats, and keep people exploring what automation misses.
Assess
Review the application, existing tests, defect history and release process to find the highest risks.
Plan the strategy
Agree the test pyramid for your system: what gets unit, integration, end-to-end and manual coverage.
Automate critical paths
Start with the journeys and logic where failures cost the most.
Integrate with CI
Run tests automatically on every change and block releases that fail them.
Explore
Manual exploratory sessions on new features and risky areas before release.
Test performance
Load tests against agreed scenarios, with findings and fixes prioritized.
Maintain & improve
Fix flaky tests, extend coverage with each feature and review quality trends.
What it connects to
Software Testing & QA
- GitHub Actions and other CI services
- Issue trackers
- Playwright and Cypress
- Load testing tools such as k6 or JMeter
- Error monitoring services
- Browser and device testing platforms
Built with
Choosing the right kind of test
| Criterion | Unit tests | Integration tests | End-to-end tests | Manual exploratory |
|---|---|---|---|---|
| What it checks | Individual functions and rules | Components working together, APIs and database | Full user journeys in a browser | Usability, edge cases, unexpected behavior |
| Speed | Very fast | Fast | Slower | Slowest |
| Maintenance effort | Low | Moderate | Higher | None, but repeated each time |
| Best used for | Business logic and calculations | Contracts and data access | Critical paths like sign-up and checkout | New features and risky changes |
Security, quality and scale
Security-focused test cases
Authentication, authorization and input-validation scenarios included in the test suite.
Safe test data
Test environments use synthetic or anonymized data rather than copies of real customer records.
Isolated environments
Load and destructive tests run against staging, never against production systems.
Scalability evidence
Load test results show where scaling is needed and confirm improvements after changes.
What working with us looks like
Developers who test, testers who code
Our QA work is done by people who understand the codebase, so tests are maintainable and failures are diagnosed quickly.
Strategy before scripts
We decide what is worth testing at each level before writing tests, avoiding large, slow, brittle suites.
Exploration alongside automation
We keep human exploratory testing for the areas automation handles poorly, such as usability and unexpected inputs.
Integrated into delivery
Tests run in your CI/CD pipeline, so quality checks happen on every change rather than once before release.
What it costs
Fixed-price packages with the scope written down, paid stage by stage. Your project goes live once it's fully paid.
Related services, technologies and industries
Sources and further reading
Official documentation and guidance if you want to read more about this topic.
Software Testing & QA: questions we hear most
What is the difference between QA and testing?
Testing is the act of checking whether software behaves correctly; quality assurance is the broader practice of building processes that prevent defects. Our QA work includes both: test design and execution, plus strategy, CI integration and feedback into development.
Should we automate all our tests?
No. Automate checks that repeat on every release (business logic, APIs and critical user journeys) and keep manual exploratory testing for new features, usability and unexpected scenarios. Trying to automate everything usually produces slow, brittle suites.
Can you add tests to an existing application with no tests?
Yes. We start with the riskiest areas and the most-used journeys, adding integration and end-to-end tests first so you gain protection quickly, then add unit tests as code is changed.
Which testing tools do you use?
We commonly use the unit test frameworks native to your stack, Playwright or Cypress for end-to-end browser tests, and tools such as k6 or JMeter for load testing. We fit in with tools your team already uses where possible.
Do you do performance and load testing?
Yes. We script realistic usage scenarios, run them against a staging environment at increasing load, and report where response times degrade or errors appear, with recommendations for fixes.
What affects the cost of software testing and QA?
Cost depends on the size of the application, the number of critical journeys, the platforms and browsers to cover, the state of existing tests and whether you need ongoing QA or a one-off engagement.
Next step
Find out where your releases are fragile
Tell us how you test and release today. We'll review it and suggest where automation and exploratory testing would help most.