QA testing services that stop regressions reaching production
QA testing services cover two jobs: catching defects before release, and building the automation that keeps catching them. InApps embeds QA engineers in your sprints, builds the regression suite in Playwright or Cypress, and gates every merge on it. First engineer in two to four weeks.
Trusted by engineering teams across 15+ countries - from startups to Fortune 500.
Every team eventually ships faster than its test suite can keep up
Six failure modes we hear on almost every first call. QA testing services exist to remove all six, and none of them is fixed by adding one more manual tester.
A regression suite nobody has maintained since the engineer who wrote it left. It fails on green builds, so the team learned to ignore red.
Two weeks of manual regression before every release. The date moves, the testing does not shrink, and the last day is always a gamble.
Browser and device bugs found by customers, because nobody owns a matrix and nobody has the hardware to test one.
Load never tested until the campaign that breaks it. The first real traffic spike doubles as the first performance test.
QA bolted onto the end of the sprint. Defects surface when the fix costs most and there is no room left to make it.
Security scanning that happens once a year for an audit, rather than once per commit where it would change a decision.
What QA testing services actually cover
Shipping every week with no automated coverage?
Testing finds the defect. QA stops the next one arriving
QA testing services are the outsourced function that verifies software works before your customers do. In practice it is four things: a written test strategy, an automated regression suite, manual exploratory testing where automation is the wrong tool, and the pipeline work that runs all of it on every commit.
Software testing services and QA services get sold as the same thing. They are not. Testing finds defects in what already exists. QA changes the process so fewer arrive: entry and exit criteria, definition of done, bug triage, release readiness. We do both, because a test suite bolted onto a broken process just reports the same defects faster.
Four testing layers, scoped to the gap rather than to a package
Most teams need two of these four. We will tell you which two after reading your defect history, and we will not quote you the other two to pad the number.
Functional and regression
The suite that runs on every merge and blocks the ones that break a critical path.
- End-to-end web flows in Playwright or Cypress
- Native and hybrid mobile in Appium or Detox
- Browser and device matrix, agreed with you up front
- Manual exploratory where automation is the wrong tool
- Accessibility checks against WCAG 2.2 AA
Performance and load
Finding the ceiling on a Tuesday, rather than during your campaign.
- Load and stress profiles in k6 or JMeter
- Soak tests for memory and connection leaks
- Database and query profiling under real concurrency
- A capacity number you can put in a capacity plan
API and integration
Where most of the defects actually are, and where the UI suite will never find them.
- Contract tests in Postman and Newman, or REST Assured
- Third-party and webhook failure paths
- Auth, rate-limit and retry behaviour
- Data integrity across services
Security and compliance
Scanned on every commit, not once a year for an auditor.
- SAST and dependency scanning inside the pipeline
- OWASP Top 10 checks against staging
- Access control and session handling review
- Evidence trail for ISO 27001:2022 and SOC 2 reviews
Test automation services that outlive the engineer who wrote them
Most automation projects do not fail at the build. They fail at month nine, when nobody left can maintain them. Four decisions decide which way yours goes.
Built on a stack you can hire for
Playwright for web by default. Cypress where your team already knows it, Appium for mobile. We pick what you can staff after we leave, not what we happen to prefer.
In the pipeline from week two
The suite runs on every pull request from the first ten tests onward, not once the build is finished. A change that breaks a critical path does not merge.
Flaky tests treated as bugs
A test that fails at random is worse than no test, because it teaches everyone to ignore red. We quarantine, fix inside 24 hours, and report flake rate as a number you can see.
Yours at the end of it
Page objects, fixtures, a written runbook and two handover sessions with your engineers. Adding a test should never require a call with us.
Three ways to outsource QA, and when each one is the right call
QA outsourcing usually fails because the model was wrong for the team, not because the engineers were. The choice turns on how much of the quality function you want to own.
| Embedded QA engineer | Dedicated QA pod | Project-based audit | |
|---|---|---|---|
| Right when | You have a team and no QA function at all | Several squads, and quality is drifting between them | You need one honest answer, not a standing function |
| Team size | One to two engineers | Three to six, with a QA lead | One to two, fixed window |
| Who directs the work | Your engineering manager | Our QA lead, against your priorities | Scope agreed before anyone starts |
| What you get back | Tests in your repository, from week two | A suite plus quality metrics across products | Report, ranked risk list, remediation plan |
| Commitment | Rolling, two weeks' notice either way | Quarterly | Fixed scope with a fixed end date |
| Typical trigger | Release cadence outgrew manual testing | A portfolio with no shared quality bar | Pre-launch, pre-funding or post-incident |
Outsourced QA, an in-house hire, or a manual-only vendor
| Criterion | InApps | In-house QA hire | Manual-only vendor |
|---|---|---|---|
| Time to first test running | 2–4 weeks | 3–4 months to hire | Fast, but nothing persists |
| Automated regression suite | Built, maintained and handed over | Depends entirely who you hire | Not offered |
| Performance and load testing | In scope, k6 or JMeter | Rarely one person's skill set | Not offered |
| Testing inside CI/CD | Every pull request, gated | Yours to build and own | Manual runs, on request |
| Security scanning | SAST and dependency, every commit | Usually a separate hire again | Not offered |
| What gets reported | Escape rate, flake rate, coverage per release | Whatever they choose to track | Defect counts |
| Scaling down | Two weeks' notice | A redundancy process | Contract-dependent |
From no coverage to a gated pipeline in six weeks
Audit and test strategy
One week reading the code, the defect history and how you actually release. You get a written strategy and a risk-ranked list of what to automate first.
Framework and pipeline
The harness, the CI job and the first ten tests. Green on your own pipeline before anyone scales the suite.
Suite build
Critical paths first, then breadth. You watch the coverage number move every week rather than hearing about it at the end.
Run it, then hand it over
The suite gates your merges. We keep it green, and we teach your engineers to keep it green without us.
Four stages before anyone writes a test against your code
Live coding & system design
- Real-world coding challenge
- System design interview
- Code quality and problem solving
Communication & English
- Technical communication
- Client-facing scenario
- Written and spoken English
Agile collaboration & ownership
- Agile mindset and teamwork
- Ownership and accountability
- Adaptability and growth mindset
Final review & reference check
- Technical panel interview
- Reference and background check
- Culture and values alignment
What decides the cost of a QA engagement
We do not publish a rate card for this work. The honest answer turns on five things, and here they are in the order they usually matter.
| Cost driver | Cheaper when | Expensive when |
|---|---|---|
| How much already exists | A suite that runs, even a thin or neglected one | Zero coverage and no test data. Weeks one and two are archaeology before a single test is written |
| Surface area | One web app and one browser matrix | Web plus iOS plus Android plus a public API. Each one is a separate harness with its own maintenance |
| Release cadence | Fortnightly, with a staging environment that matches production | Several times a day, where the whole gate has to finish in under ten minutes |
| Cost of an escape | A user retries and nothing was lost | Money moved, or a regulator sees it. Coverage depth and sign-off both go up |
| Environments and data | Stable staging with seedable test data | Shared environments and production-copy data with a compliance process wrapped around it |
What we test with, and why none of it locks you in
Every tool here is open source or has a tier your team can run without us. That is the point. A suite you cannot execute after we leave is not an asset.
Web and mobile
Playwright by default for web end-to-end: fastest, best debugging, actively maintained. Cypress where your team already knows it, Selenium where a legacy suite exists and rewriting it is not the priority. Appium for native and hybrid mobile. BrowserStack for the device matrix no office can hold.
API, load and unit
Postman and Newman for API contract tests, REST Assured on Java stacks. k6 for load, JMeter where you already run it. Jest, Vitest and JUnit at the unit layer, which stays your engineers' job and not ours.
Pipeline and reporting
GitHub Actions, GitLab CI or Jenkins, whichever you already run. SonarQube for static analysis and coverage gates. Allure for reports a product manager will actually open.
Ask the people who stayed
Every quote below is from a verified review. None of them were written by us.
“Clear expectations, rules that actually hold, delivered on time. And the people are genuinely easy to work with, not just professionally, but as humans.”
Worth the call, or worth a no
QA outsourcing is the wrong shape for plenty of good teams. Here is where it works, and where we will point you somewhere else instead.
This works well if
- You are releasing faster than manual testing can keep up, and the gap widens every quarter.
- You have no automated regression suite, or one nobody on the team trusts any more.
- You want QA inside the sprint rather than a gate bolted onto the end of it.
- You need a device matrix or a load profile you cannot justify buying and staffing.
This is not a fit if
- You want a QA engineer on your own org chart long-term. That is IT staff augmentation, it costs less than this, and we will say so on the first call.
- You need the product built as well as tested. Start at custom software development and fold QA into that engagement.
- You want a green tick for a compliance form without changing how you release. Automation does not survive that, and neither does the budget.
- You have no staging environment and no test data. Fix that first. We will tell you what it takes, at no charge.
Answered without the hedging
Still deciding?
Send us the release that keeps slipping. We will tell you whether the problem is coverage or process, including when it is the second one and we are the wrong purchase.
Book a discovery callWhat are QA testing services?
How much do QA testing services cost?
What is the difference between QA and software testing?
Which test automation framework do you use?
How much test coverage do we actually need?
How does QA outsourcing work alongside our existing team?
How do you handle flaky tests?
Can our team maintain the suite after handover?
Tell us about the release that keeps slipping
No pitch and no credentials deck. We look at your repository and your last three releases, and come back with what to automate first and what it costs. If the problem is your process rather than your coverage, you will hear that on the first call.