Software testing that protects your releases
Software testing and quality assurance (QA) verify that an application works as intended, performs under load, stays secure and is usable by everyone. QA is more than finding bugs at the end — it is a process that runs through the whole development cycle, from reviewing requirements to monitoring production.
We provide QA as part of every project we build, and as a standalone service for teams who need independent testing, test automation or extra QA capacity.
Our software testing services
Manual testing
Exploratory, functional and regression testing by experienced testers who think like real users.
Automated testing
UI, API and unit test automation integrated into CI/CD so every change is checked in minutes.
API testing
Contract, functional, security and load tests for REST and GraphQL APIs.
Mobile app testing
Testing on real iOS and Android devices across screen sizes, OS versions and network conditions.
Performance testing
Load, stress and soak tests that show how your system behaves at peak traffic and where it breaks.
Accessibility testing
WCAG 2.1 AA audits with screen readers, keyboard-only navigation and automated checks.
Security testing
Vulnerability scanning and OWASP-based testing, with penetration testing available through our cybersecurity team.
QA outsourcing
A dedicated QA team or testers embedded in your sprints, following your tools and processes.
Test automation that pays for itself
Manual testing alone gets slower and more expensive as a product grows. We automate the tests that run most often — critical user journeys, API contracts and regression suites — so your team gets fast feedback on every pull request, and testers can focus on exploratory work that automation cannot do.
Our QA process
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QA assessment1 week
Review of current testing, tools, coverage and defect trends.
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Test strategy1 week
Scope, test types, environments, data, tools and quality metrics agreed.
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Test designOngoing
Test cases and automation scripts written from requirements and user stories.
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Execution & reportingEvery sprint
Manual and automated runs with clear bug reports, severity and steps to reproduce.
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Continuous improvementOngoing
Coverage, flakiness and escape-rate tracking with steady improvements.
Quality metrics we report
| Metric | Why it matters |
|---|---|
| Test coverage of critical journeys | Shows how much of what matters is protected |
| Defects found before vs after release | Measures how effective testing is |
| Automated test run time | Fast feedback keeps developers productive |
| Flaky test rate | Unreliable tests erode trust and waste time |
| Mean time to detect and fix | Tracks how quickly problems are resolved |
Software testing cost
| Engagement | Scope | Timeline | Typical budget (USD) |
|---|---|---|---|
| QA audit | Process review + recommendations | 1 week | $2k – $5k |
| Test automation setup | Framework + critical journeys in CI/CD | 3–6 weeks | $8k – $25k |
| Performance test | Scripts, test runs and report | 1–3 weeks | $4k – $15k |
| Dedicated QA engineer | Embedded in your sprints | Monthly | $3k – $7k / month |
Ranges are typical for projects of this kind and are shared to help you budget. Your fixed quote comes after a free discovery call and depends on scope, integrations and timeline.
Types of software testing explained
| Test type | What it checks | Who usually runs it |
|---|---|---|
| Unit tests | Individual functions and components | Developers |
| Integration tests | How modules and services work together | Developers & QA |
| End-to-end tests | Complete user journeys through the UI | QA automation |
| Regression tests | That new changes did not break existing features | QA (mostly automated) |
| Exploratory tests | Unexpected behaviour and edge cases | Experienced manual testers |
| Performance tests | Speed and stability under load | Performance engineers |
| Security tests | Vulnerabilities and misconfigurations | Security specialists |
| Accessibility tests | Usability for people with disabilities | QA with assistive tech |
Shift-left testing: finding bugs earlier
A defect found in requirements or design costs far less to fix than one found in production. We “shift left” by having QA review user stories for testability, defining acceptance criteria before development, writing automated tests alongside code, and running them on every pull request. Testing becomes a continuous activity rather than a phase at the end — which shortens release cycles and reduces late surprises.
Building the right test automation pyramid
Good automation follows a pyramid: many fast unit tests at the base, fewer integration and API tests in the middle, and a focused set of end-to-end UI tests at the top for the most important journeys. Teams that invert the pyramid — relying mainly on slow UI tests — end up with long, flaky test runs. We help you rebalance so the suite is fast, stable and trusted.
- Critical journeys covered end to end
- APIs covered by contract and functional tests
- Tests run in parallel in CI in minutes, not hours
- Flaky tests tracked and fixed, not ignored
Manual or automated testing: when to use each
Automation is not a replacement for human testers; each has a job it does best. A healthy QA strategy uses both:
| Manual testing | Automated testing | |
|---|---|---|
| Best for | New features, exploratory testing, usability, visual checks | Regression, APIs, data-heavy flows, repeated checks |
| Speed | Slower per run, fast to start | Very fast per run, takes time to build |
| Cost over time | Grows with every release | Falls after the first few releases |
| Finds | Confusing UX, edge cases nobody scripted | Things that used to work and broke |
As a rule of thumb, any test you run more than three or four times is a candidate for automation.
Testing tools we use
We choose tools that fit your stack and that your own team can maintain after handover:
What a test plan includes
Every engagement starts with a short test plan, so everyone agrees what “tested” means before work begins:
- Scope — features, platforms, browsers and devices in and out of scope.
- Approach — which tests are manual, which are automated and why.
- Environments and test data — where testing happens and how realistic data is created safely.
- Entry and exit criteria — what must be true before testing starts and before a release is approved.
- Defect process — severity levels, who fixes what, and expected turnaround.
- Reporting — the metrics and dashboard you will see each sprint.
Testing works best when it starts with design. If you are starting a new product, pair QA with our custom software development team from the first sprint.
How QA fits into every sprint
Testing at the end of a project is where schedules go to die. Our testers work inside the sprint, side by side with developers:
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PlanSprint day 1
Testers review user stories and add acceptance criteria and test cases before development starts.
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Build & testDays 2–8
Each feature is tested as soon as it reaches staging; automated tests are written alongside it.
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RegressionDay 9
The automated suite runs against the full product, plus a focused manual pass on risky areas.
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ReleaseDay 10
A short release report lists what was tested, known issues and the go/no-go recommendation.
The result is fewer surprises, faster releases and bugs that cost minutes to fix instead of days.
Signs your QA process needs help
- Customers find bugs before your team does
- Releases are delayed because nobody is confident the build is safe
- The same bugs come back after being fixed
- Automated tests exist but are flaky, slow or ignored
- Developers test their own work with no independent check
- Nobody can say which features are covered by tests and which are not
These symptoms rarely mean people are careless. They usually mean testing has not kept pace with the product’s growth.
The cost of quality
Testing is sometimes seen as overhead. In practice, defects become more expensive the later they are found. A useful way to think about it:
| Where a defect is found | Typical effort to fix | Other costs |
|---|---|---|
| During requirements or design | A conversation or a sketch change | None |
| During development | Minutes to hours for the developer | Very little |
| In QA before release | Hours, plus retesting | Possible release delay |
| In production | Hours to days, often under pressure | Support load, lost revenue, reputation, data fixes |
Illustrative. The principle — earlier is cheaper — is widely accepted; exact multiples vary by project.
This is why we involve QA from the first sprint, review acceptance criteria before code is written and automate the checks that protect your most valuable journeys.
How to evaluate a QA partner
- Ask to see a sample test plan and a sample bug report — clarity matters more than volume.
- Ask how they choose what to automate and what to keep manual.
- Ask how they deal with flaky tests and how fast the suite runs.
- Ask which metrics they report and how those connect to release decisions.
- Ask whether tests will live in your repository and run in your CI pipeline.
See automated testing and performance testing for specialist services.
A typical first month with our QA team
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Week 1
Learn the product, review existing tests and bugs, and identify the highest-risk journeys.
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Week 2
Agree a test strategy, set up bug reporting conventions and start testing the current sprint.
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Week 3
Automate the first critical smoke tests and add them to your CI pipeline.
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Week 4
Report on coverage, defect trends and recommendations for the next quarter.
By the end of the month you have independent testing in every sprint and a clear plan for increasing automation where it pays off.
Why choose us for QA
- QA engineers with development skills, so automation is maintainable.
- Clear, reproducible bug reports your developers will appreciate.
- Testing integrated into your pipeline, not bolted on at the end.
- Works alongside our development teams or yours.
Explore more in Software Development Services.