
Unit Testing
Isolated tests for individual functions and modules. Fast execution, high coverage, and logic-error detection at the source with Jest, Pytest, or JUnit depending on your stack.
We build automated QA coverage across unit, integration, end-to-end, performance, and security testing layers — integrated into your CI/CD pipeline and triggered on every commit or pull request. Our QA automation services cover framework selection, test strategy design, suite implementation, and ongoing coverage expansion.

60–80%
QA effort
<30 min
Regression
3–5x
Release cadence

Isolated tests for individual functions and modules. Fast execution, high coverage, and logic-error detection at the source with Jest, Pytest, or JUnit depending on your stack.
Assess current coverage, identify gaps, and prioritize automation by production risk, business value, and frequency of use.
Choose testing tools matched to your stack, team workflow, CI/CD environment, browser and mobile requirements, and maintenance capacity.
Write automated tests starting from the highest-risk user flows, critical APIs, and regression-prone modules.
Wire test execution into pull request checks, deployment gates, release workflows, and blocking thresholds for failures.
Configure dashboards, failure notifications, coverage tracking, flaky-test visibility, and actionable reports for engineering teams.
Update tests as features ship, remove flaky assertions, expand coverage incrementally, and keep quality gates reliable.
We choose tools that match your application stack, CI/CD environment, team experience, and release cadence instead of forcing a one-size-fits-all framework.
Performance and security testing are often the last to be implemented and the first to cause production incidents. We integrate both as non-optional pipeline gates.
Load tests run at 2x projected peak traffic before every major release.
Security dependency scans on every PR merge with blocking failure thresholds.
API fuzzing to identify edge cases in request handling.
Latency regression detection with alerting on P95 and P99 threshold breaches.
60–80% reduction in manual QA effort per release cycle.
Regression detection time compressed from days to under 30 minutes.
3–5x faster release cadence with automated quality gates in CI/CD.
Earlier defect detection — fixing bugs in development costs 10x less than in production.
Consistent coverage across browsers, devices, and environments without manual repetition.
A focused engagement covering CI/CD integration and core e2e flows starts at $1,500+. Comprehensive multi-layer automation for a mid-complexity application ranges from $2,000+. Ongoing QA retainers for coverage maintenance run $2,000–$5,000/month.
Core e2e and CI/CD setup
Pull request checks, key user flows, reporting, and deployment gates.
Comprehensive QA automation
Unit, integration, e2e, performance, and security coverage for a mid-complexity app.
Ongoing QA retainer
Coverage maintenance, new feature tests, flaky-test cleanup, and reporting support.
Tell us your stack and current test coverage. We'll identify the highest-value automation wins in a 30-minute call.
QA automation is the use of software frameworks and scripts to execute tests automatically, replacing or reducing manual testing effort. Automated tests run consistently, repeatedly, and at the speed of your CI/CD pipeline.
Manual testing doesn't scale with codebase growth. Automated testing catches regressions on every change, enables confident frequent releases, and reduces defect-detection cost by identifying issues in development rather than production.
Unit, integration, end-to-end, performance (load/stress), and security testing. Each layer catches a different class of defect, and a complete QA strategy covers all five.
Core CI/CD integration and e2e coverage starts at $1,500+. Comprehensive multi-layer test automation ranges from $2,000+. Ongoing retainers run $1,000+/month.
As early as possible — ideally from the first sprint. The later automated testing is added, the more expensive it is to retrofit coverage across an existing codebase.
