01
Automation where it pays
We automate the regression paths that actually break — not vanity coverage numbers.
Services — Quality & support
Quality gates, not quality theater.
We build automated test suites — API, web, mobile — that run in your pipeline on every change, fail loudly, and stay maintainable long after the engagement ends.
Why enterprises choose this service.
02
In the pipeline, not beside it
Suites wired into CI/CD as merge gates; a red build blocks the release, as it should.
03
Maintainable by your team
Page-object patterns, clear naming, and docs — designed for handover, not lock-in.
04
Performance included
Load and performance baselines run alongside functional suites, catching regressions early.
How we deliver.
Step 01
Assess
Risk-map your application: what breaks, what it costs, and what to automate first.
Step 02
Build
Framework setup and the first high-value suites — API first, then critical UI journeys.
Step 03
Integrate
CI/CD wiring, parallel execution, flaky-test quarantine, and readable reporting.
Step 04
Handover
Team training, docs, and a maintenance playbook — or we keep running it as a service.
Technology we use.
PlaywrightCypressSeleniumAppiumk6JMeterGitHub ActionsJenkinsAllure
Frequently asked questions.
Which framework do you recommend?
Playwright for most modern web apps; Appium for native mobile; API-level testing first wherever possible — it is faster and less brittle.
How do you handle flaky tests?
Quarantine on first flake, root-cause within the sprint, and a zero-tolerance policy on merging known-flaky tests into the gate suite.
Can you test AI features?
Yes — we build evaluation suites for LLM-powered features: golden datasets, response scoring, and regression tracking across model updates.
What coverage should we aim for?
Coverage of risk, not lines: the checkout flow at 100% matters more than 80% overall. The assessment sets targets per area.
Related services.
In depth
QA automation: quality as a pipeline gate, not a phase
Testing as a phase is where schedules go to die. QA automation moves quality into the pipeline: fast unit and API suites on every commit, targeted UI journeys on every merge, and performance smoke tests before every release. Defects surface in minutes, when they cost minutes to fix.
We build automation pyramids that stay maintainable: Playwright and Cypress for the UI layer, REST/contract tests where most regressions hide, and test-data management that keeps suites deterministic. Flaky tests are treated as production bugs — because a suite nobody trusts is worse than none.
Our QA engineers embed with delivery squads or retrofit automation onto existing products, often alongside performance engineering and DevOps. For AI-era products we also test the untestable-by-assertion: LLM output evaluation with golden datasets and drift alerts.
Pyramid, not ice cream cone
Fast unit/API coverage where it counts; UI journeys reserved for what users truly do.
Zero-tolerance for flake
Deterministic data and quarantine policies keep the suite trustworthy.
AI-aware testing
Golden-set evaluation for LLM features — quality gates for probabilistic software.