Quality Engineering as a service
Ship often, without hoping it works.
Afoxlabs runs the QA function for software teams that release frequently and do not want to build an entire quality organisation to do it. Manual QA, API and Playwright automation, CI/CD quality gates and AI-assisted testing — as one engagement, with one owner.
Twelve questions, no call required. You get a maturity score and a 30/60/90-day roadmap you can act on yourself.
Tools we work in
Why teams call us
You do not have a testing problem. You have a release-confidence problem.
Almost every team we speak to recognises at least three of these. They are all the same underlying issue: quality depends on individual effort instead of on a system.
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 nobody owns the quality of the whole product.
One QA engineer, and a growing backlog
Your single tester is the bottleneck for every release, and the regression workload only grows with each feature.
Automation that nobody trusts
There is a suite. It is red. People re-run it until it goes green, which means it has stopped being a signal.
Bugs you already knew about reach production
The same class of defect escapes repeatedly, because nothing turns an incident into a permanent regression test.
Hiring a QA team is not the answer yet
You need automation capability now, not three job openings, six months of recruiting and a management overhead.
What we own
One team for the whole quality surface
We deliberately start narrow — web and API testing, automation and CI/CD — because that is where the leverage is. Performance and AI quality get added when your product needs them, not to pad a brochure.
Manual & functional QA
Requirement analysis, test design, functional, regression, exploratory and release testing — written down and repeatable.
Read more →API testing & automation
Functional, negative, contract and data-driven API coverage. Fast, stable, and where most logic regressions are actually caught.
Read more →Playwright UI automation
Automation across your critical user journeys, with stable locators, isolated test data and parallel execution.
Read more →CI/CD quality gates
Suites wired into GitHub Actions, Jenkins or your pipeline, layered by speed, with reporting a non-engineer can read.
Read more →Performance & resilience
Load and API performance work with baselines, plus chaos engineering to find what breaks when a dependency fails rather than when everything is healthy.
Read more →AI & LLM quality
Testing for products with AI in them — correctness, RAG evaluation, prompt injection, tool use, cost and latency.
Read more →How it starts
Three steps, and you can stop after any of them
Nobody signs a long contract on a first conversation. Each stage is designed to be worth doing on its own, and to make the next one an obvious decision rather than a leap of faith.
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Free QA Health Check
Take the twelve-question assessment, or walk us through your process in thirty minutes. You get a written review: current maturity, the gaps most likely to cause an incident, and a prioritised 30/60/90-day roadmap. No cost, and it is useful even if you do the work yourself.
Take the health check → -
Release Readiness Sprint
A fixed-scope, two-week engagement. We pick your most critical journeys, build a real automated suite for them, wire it into your pipeline and hand over the framework with documentation. Fixed deliverables agreed up front — you find out exactly what we are like to work with before committing to anything ongoing.
What the sprint includes → -
Managed Quality Engineering
We take ongoing responsibility for release quality: coverage growth, regression execution, suite maintenance, gate enforcement and reporting. Scope, coverage targets and response times are written down, so neither side is guessing.
Engagement models →
How we are different
Four commitments we will put in writing
We take responsibility for an outcome, not for hours
The engagement is defined by release confidence — what is covered, what is gated, what gets reported — rather than by a headcount you manage.
Automation is the deliverable, not an upsell
Every engagement leaves behind a framework, tests and pipeline configuration that are yours. If you end the engagement, the assets stay with you.
Built by someone 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 in anger. Not a sales layer in front of junior testers.
AI proposes; controlled automation and humans decide
We use AI to draft test candidates, generate data and triage failures — from having built AI-assisted automation on LLM technologies in production, which is also where the caution comes from. We never let a model silently turn a failing test into a pass.
Afoxlabs Labs
We test our own work in public
We build and run a small set of free tools for developers and QA engineers. They are genuinely useful on their own — and they are also real production systems that we develop, test, monitor and maintain using exactly the practices we sell. It is easier to trust a quality partner whose own work you can inspect.
- Free, no signup for the basics, no dark patterns
- Each one runs on the same CI and monitoring we would build for you
- Public status and real incident history, not a trust-me badge
- Built for developers and QA engineers — the people we work with
FAQ
Questions we get asked
Are you a staffing agency?
No. Staffing sells you people and leaves the management overhead with you. We take on a defined quality outcome — coverage, automation, gates and reporting — and run it. If what you actually want is a tester on your payroll, we are the wrong fit and will say so.
What does an engagement cost?
It depends on scope: how many journeys need covering, your release cadence, how much automation exists, and what response times you need. We scope it after the health check and send a written proposal with fixed deliverables. The engagement models are described here.
Who owns the tests and the framework?
You do. Code lives in your repositories, under your version control, from day one. There is no proprietary runner you become dependent on, and nothing to migrate away from if we stop working together.
How quickly would we see anything useful?
The health check gives you a written assessment within about a week. A Release Readiness Sprint produces a working automated suite for your critical journeys, running in CI, inside two weeks.
Do you work with our existing QA team?
Usually, yes — that is the most common shape. We take the automation and regression load so your own engineers can focus on the product knowledge only they have.
How do you handle access to our systems and data?
An NDA before anything technical, least-privilege access, no production credentials unless the work genuinely requires them, secrets in a manager rather than in code, and no customer data copied to local machines.
What if our product has AI features?
That is a specific discipline, and one we have deliberately built for — non-deterministic outputs need evaluation harnesses rather than assertions. See the AI quality page.
Start with a free QA Health Check
Answer twelve questions about how your team tests today. You get a maturity score, the three gaps most likely to cause a production incident, and a 30/60/90-day roadmap — whether or not you ever work with us.