01
Manual QA is the bottleneck.
Your engineering team ships code in days, but QA takes weeks. Releases pile up waiting for manual testing that can’t keep pace with development speed.
AI QA Automation
AI QA automation.
Catch bugs before your customers do.Manual QA slows releases and misses regressions. We build AI-powered test suites that generate tests, adapt to UI changes, and run in your CI/CD pipeline — so quality is automated, not bottlenecked.
NMSDC MBE Certified
U.S.-Based
AI-Powered Testing
CI/CD Integration
01 · What’s broken
Why your current QA isn’t working.
02
Tests break every time the UI changes.
Your test suite is brittle. One button move, one text change, and dozens of tests fail — not because the app is broken, but because the tests can’t adapt.
03
Coverage gaps catch you in production.
Your test suite covers the happy paths but misses edge cases, race conditions, and user flows that real customers actually hit. You find out when they file tickets.
04
No one owns test quality anymore.
QA was cut, outsourced, or reassigned. Developers write some tests, but there’s no strategy, no coverage tracking, and no confidence in what’s actually tested.
02 · What we build
AI that tests your software — better than humans can.
Test generation, self-healing suites, visual regression, CI/CD integration, and coverage you can actually measure.
AI-powered test generation
AI analyzes your application and generates tests that cover real user paths, edge cases, and regressions — not just the obvious happy paths.
Discuss this →Self-healing test suites
Tests that adapt when the UI changes. No more broken suites every time someone moves a button, renames a field, or updates a layout.
Discuss this →Visual regression testing
Pixel-level comparisons catch UI regressions that functional tests miss — layout shifts, color changes, font issues, and responsive breakdowns.
Discuss this →CI/CD pipeline integration
Tests run automatically on every pull request. Failures block the deploy before bugs reach production — with clear, actionable reports.
Discuss this →End-to-end test coverage
Full coverage across unit, integration, and E2E layers. We build the testing pyramid so you know exactly what’s covered and what isn’t.
Discuss this →Performance and load testing
Catch slow endpoints, memory leaks, and scaling issues before they affect users. Automated performance baselines with alerting.
Discuss this →Shipping too slowly because of QA? Let’s fix that.
Start a QA review03 · Problems we solve
Real problems engineering teams bring to us.
01
Challenge
We ship too slowly because of QA.
How we solve it
We automate your testing so it runs in minutes, not weeks. AI generates tests, self-heals when the UI changes, and integrates with your CI/CD pipeline.
02
Challenge
Our tests break constantly and no one fixes them.
How we solve it
Self-healing test suites adapt to UI changes automatically. Your tests stay green without constant manual maintenance.
03
Challenge
We don’t know what’s actually covered.
How we solve it
We map your test coverage, identify gaps, and build the missing layers — with dashboards that show exactly what’s tested.
04
Challenge
Bugs keep reaching production.
How we solve it
AI finds edge cases and regressions that manual testers miss. Visual regression catches UI issues. Everything runs automatically before deploy.
04 · Outcomes
What changes when QA is automated.
Faster releases
Ship with confidence in hours, not weeks.
Higher coverage
AI finds edge cases humans miss.
Fewer production bugs
Catch regressions before customers do.
Lower QA cost
Automate what shouldn’t be manual.
05 · How we work
From assessment to automated quality.
01
QA assessment
We review your app, current test coverage, CI/CD pipeline, and deployment process.
→ Gap report
02
Strategy design
We design the test strategy, coverage plan, tooling selection, and automation architecture.
→ Strategy approved
03
Build and integrate
We build the AI-powered test suite, integrate with your pipeline, and validate against your app.
→ Suite running
04
Maintain and expand
Ongoing test maintenance, coverage expansion, self-healing tuning, and pipeline optimization.
→ Quality automated
07 · Common questions
Frequently asked questions.
How is AI QA different from traditional test automation?
Traditional test automation requires engineers to write and maintain every test manually. AI QA generates tests from app behavior, adapts when the UI changes (self-healing), and finds edge cases that scripted tests miss. It’s not replacing your testing — it’s making it dramatically more effective.
Can you integrate with our existing CI/CD pipeline?
Yes. We integrate with GitHub Actions, GitLab CI, Jenkins, Azure DevOps, CircleCI, and similar platforms. Tests run automatically on every PR or deployment.
How long does it take to set up AI QA?
A focused engagement for one application typically takes 4–6 weeks to reach meaningful automated coverage. Broader rollouts across multiple apps take 8–12 weeks. We scope clearly before any work begins.
Will AI QA replace our manual testing team?
No. It shifts their work from repetitive regression testing to higher-value activities like exploratory testing, user experience validation, and test strategy. The goal is to automate what shouldn’t be manual.
What if our app doesn’t have any tests right now?
That’s a common starting point. We begin with a coverage assessment, identify the highest-risk areas, and build the testing foundation. AI test generation accelerates coverage ramp-up significantly.
What testing frameworks do you work with?
We work with Playwright, Cypress, Selenium, Jest, Pytest, and other frameworks depending on your tech stack. We also integrate AI testing tools like Testim, Applitools, and custom AI test generators.
Get Started
Catch bugs before your customers do.
Start with a QA review.
Tell us what you ship and how you test. We’ll review your coverage, identify the gaps, and recommend an AI QA strategy — with a clear plan and timeline.
Contact info@evolveblue.com · +1 215-882-3133