QA & Software Testing Services
Software testing services are the work of finding defects before your users do and proving a release behaves the way it should. We write automated tests, run manual and exploratory QA, measure how the system holds up under load, and wire all of it into your CI so every commit is checked. The output is a test suite your team trusts and a clear signal on whether a build is safe to ship.
What we test
- Test automation. End-to-end browser tests, API contract tests, and unit tests that run on every pull request. We build the suites to be fast and deterministic — no flaky tests that get muted and then ignored.
- Manual and functional QA. Exploratory testing of new features, regression passes against acceptance criteria, edge-case hunting, and cross-browser/device checks where automation has poor coverage or low return.
- Performance and load testing. Throughput, latency percentiles (p95/p99), and breaking points under concurrent load, with realistic traffic profiles so the numbers mean something for your actual usage.
- Accessibility testing. WCAG 2.2 AA checks combining automated scans with keyboard-only and screen-reader passes — because automated tools catch roughly a third of real accessibility defects, and the rest need a human.
Tooling
We use the tools your engineers already recognize, so the suite stays maintainable after we hand it off:
- Playwright for cross-browser end-to-end tests, with traces and video on failure so a broken test tells you why.
- Cypress where a team already runs it or wants its component-testing and time-travel debugging workflow.
- Jest (and Vitest) for unit and integration tests with mocking, snapshots, and coverage reporting.
- k6 for load and performance tests scripted in JavaScript and run from CI or a distributed cloud.
- axe-core, Pa11y, and Lighthouse CI for accessibility and performance budgets that fail the build when they regress.
Our approach
We build to the test pyramid: many fast unit tests at the base, a focused layer of integration and API tests in the middle, and a small set of end-to-end tests that cover critical user journeys. Inverting that — relying on a pile of slow browser tests — is how suites become flaky and get abandoned.
Tests run in CI on every push, gated so a red suite blocks the merge. We shift testing left: instead of a QA phase bolted onto the end, we write tests alongside the feature and catch defects when they are cheapest to fix. For releases we keep a separate smoke suite that runs against staging post-deploy, so a bad config or a broken integration surfaces in minutes rather than from a support ticket.
We also treat flakiness as a defect in its own right. A test that fails intermittently trains your team to ignore failures, which defeats the suite. We isolate state, control test data, and remove timing assumptions until the suite is reliable.
What you get
- A test suite committed to your repo and running in your CI, with the config and documentation to maintain it.
- Coverage reporting and a defined quality gate, so “is this safe to ship” has a measurable answer.
- A prioritized defect log from the first QA pass — severity, reproduction steps, and the failing assertion.
- Load-test results with the percentile latencies and the concurrency level where the system starts to degrade.
Why work with us
We are an engineering team that tests, not a separate QA vendor reading from a script. We read your code, so tests target the logic that actually breaks rather than clicking through the UI blind. Being AI-first, we use models to speed the slow parts of QA — generating test-case variations from acceptance criteria, triaging failure logs, and proposing assertions for uncovered branches — while a human reviews every test that goes into the suite. Generated tests that nobody understands are worse than no tests, so review is non-negotiable.
Tell us your stack, your CI, and where bugs reach production today, and we will scope automation, manual QA, and performance testing end to end.
