QA as a service · QA outsourcing

Expert QA, delivered on a date you can plan around.

Afoxlabs is a QA as a service company. Share your software testing work — manual QA, API, Playwright and Selenium automation, CI/CD quality gates, performance and AI testing — and we will come back with a written scope, a committed delivery date in days, weeks or sprints, and a fixed quote. Priced by the delivery, never by headcount.

Scope, date and quote within two business days. No minimum contract.

Tools we work in

PlaywrightSeleniumTypeScriptJavaPythonTestNGCucumberREST AssuredPostmanJMeterk6GremlinJenkinsGitHub ActionsDockerKubernetesGrafanaAllure

Why teams outsource QA to us

Release with confidence, on a schedule you can plan

Most teams we speak to recognise at least three of these. Each one is a sign that QA work has outgrown the time available for it — and each one is a well-defined piece of work we can take on with a committed date.

Regression eats the week before every release

Testing is the long pole. The release date moves because nobody can say with confidence what still works.

Developers are your QA team

Engineers test their own code between features. Coverage is uneven, and quality of the whole product has no single owner.

One QA engineer, and a growing backlog

Your tester is carrying every release, and the regression workload grows with each feature you ship.

An automation suite that needs attention

There is a suite, but it is slow or intermittently red, so it is not yet the release signal it could be.

The same kinds of bugs keep returning

A class of defect reaches production more than once, because nothing yet turns an incident into a permanent regression test.

You need QA done, not a new hire

You have a release date and a QA backlog. Outsourcing the work with a committed timeline is faster than opening roles and recruiting for months.

How it works

From QA task to delivered work, on a date you can plan around

No hiring, no onboarding, no hourly billing. You describe the work, we commit to a date, and we deliver it.

  1. Share the work

    A feature to test, a regression pack to automate, a release to validate, an API to cover, a flaky suite to stabilise. A few lines are enough to start — or take the free QA Health Check if you would like help deciding what comes first.

    Describe your QA task →
  2. Get a scope, a date and a quote

    Within two business days you receive the deliverables, acceptance criteria, a delivery date in days, weeks or sprints, and a fixed quote. Single tasks usually take days to a couple of weeks.

    See typical timelines →
  3. We deliver; you keep everything

    Progress is visible in your repository, tracker and CI throughout. On the agreed date you get the finished work, a handover and a written summary — then send the next task whenever you are ready, or move to sprint-by-sprint delivery.

    Engagement models →

Why Afoxlabs

Four commitments we put in writing

Committed dates, not headcount

Every piece of work is agreed as a deliverable with a delivery date in days, weeks or sprints, and a fixed quote. You plan around a date, not around a person.

Everything we build is yours

Test cases, automation frameworks and pipeline configuration are delivered into your repositories from the first commit, ready for your team to run and extend.

Led by an engineer who has done the work

Seven-plus years as a Senior SDET: automation frameworks designed from scratch in Java, Playwright and TestNG, twenty-plus continuous delivery releases led, QA environments owned, chaos and performance testing run on real systems. Every engagement is scoped and led by the engineer doing the work.

AI proposes; controlled automation and humans decide

We use AI to draft test candidates, generate data and triage failures — drawing on hands-on experience building AI-assisted automation on LLM technologies. Release decisions always rest on reviewed, deterministic tests.

Free tools

Tools for developers and QA engineers

Three free tools you can use right now: a QA timeline estimator, a private in-browser flaky test analyzer, and an OpenAPI diff checker that writes the regression tests for you. Each one is built and tested with the same practices we deliver for clients.

  • Free for the core function, no signup required
  • Built on the same CI, test automation and monitoring we set up for clients
  • Designed for developers and QA engineers
  • Runs entirely in your browser — nothing is uploaded

FAQ

Questions we get asked

What does "QA as a service" mean at Afoxlabs?

You hand us defined QA work — testing a feature, automating a regression pack, validating a release, building a framework — and we deliver it against a committed date for a fixed quote. You get the outcome without hiring, onboarding or managing testers. More on QA as a service.

Do you provide dedicated testers or staff augmentation?

Our model is different: we take on the work itself rather than supplying people. Each engagement is a scoped deliverable with a delivery date, so you plan around outcomes and timelines, and we take care of how it gets done.

How is pricing decided?

By the delivery. After a short scoping step you get a fixed quote for the agreed deliverables and date — no hourly rates and no per-person billing. Ongoing work is priced per sprint in the same way. See the engagement models.

How long does a typical piece of QA work take?

Most single tasks take days to a couple of weeks; larger automation programmes run over a few sprints. The typical timelines are published here, and your exact date is confirmed in writing within two business days of sharing the work.

Can we outsource just one task?

Yes. One feature, one regression cycle, one automation build-out — there is no minimum contract and no obligation to continue afterwards.

Who owns the tests and the framework?

You do. Code lives in your repositories, under your version control, from day one, with no proprietary runner involved.

How do you handle access to our systems and data?

An NDA before anything technical, least-privilege access, production credentials only when the work requires them, secrets in a secrets manager, and no customer data copied to local machines.

What if our product has AI features?

That is a specific discipline we have built for — non-deterministic outputs need evaluation harnesses rather than exact assertions. See AI quality engineering.

Have a QA task? Get a committed timeline.

Describe the work — a feature to test, a regression pack to automate, a release to validate. Within two business days you get a written scope, a delivery date in days, weeks or sprints, and a fixed quote.