Automated Testing

Automated Testing

80% coverage of what matters, in 60 days

Automation That Builds Itself, Heals Itself, and Scales With Your Product

Most automation projects die the same way: scripts cost a fortune to build, more to maintain, then get abandoned when the upkeep outweighs the value. The cause is always the same – brittle scripts tied to CSS selectors and DOM structures that break on every UI change. We build automation differently. Senior QA engineers, AI in every workflow, and frameworks engineered to survive your release velocity instead of fighting it. You don’t get a pile of tests handed over and forgotten. You get a living suite that grows, self-heals, and runs on every commit – owned end to end until your release is genuinely safe to ship.

Our Automation Stack

Playwright is our primary framework for modern, cross-browser, parallelized web automation. We add Selenium and Selenium Grid for legacy and enterprise environments, Appium for native and hybrid mobile, Postman and REST Assured for the API layer, and k6/JMeter for performance integration. On top of every framework sits an AI self-healing layer that keeps the suite green through UI changes. We integrate with whatever CI/CD you run – GitHub Actions, GitLab CI, Jenkins, Azure DevOps – so tests trigger on every commit from day one. The frameworks are open and documented, and the code is yours to keep. No black box, no vendor lock-in.

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AI TEST CASE GENERATION

Coverage Starts the Moment Requirements Are Written

Our engineers feed user stories, Jira tickets, and acceptance criteria into AI-assisted generation pipelines that draft Playwright and Selenium test scaffolds — file structure, locators, basic flow — in minutes instead of hours. That’s where AI’s real value sits: the boilerplate, not the judgment. Assertions, pass/fail logic, edge cases, and the page-object architecture come from a senior engineer who knows what “correct” actually means for your product. The result: faster first draft, fewer flaky tests, and an automation suite that holds up because a human owns every line that enters the CI pipeline.

4

SELF-HEALING AUTOMATION

Scripts That Survive Your Next UI Refactor

Teams routinely lose 30–40% of their automation time fixing broken scripts instead of expanding coverage. Our automation uses AI-based locator strategies that identify elements by intent and context, not by brittle CSS selectors. When your team refactors the frontend, the suite adapts – without a maintenance sprint. Your engineers spend their time building coverage, not patching selectors.

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INTELLIGENT REGRESSION SELECTION

Run the Tests That Matter, Not All 2,000 Every Time

Running a full regression suite on every build is slow and expensive. AI maps each code change to the tests it actually affects and runs only that subset – delivering the same confidence in a fraction of the time. A four-hour regression run drops to a targeted 35-minute cycle, while the full suite still runs on schedule for complete confidence. Developer feedback loops compress from hours to minutes, and your pipeline stops being the bottleneck.

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FLAKINESS DETECTION & ELIMINATION

A Test Suite You Can Actually Trust

A flaky suite is worse than no suite – once developers stop trusting red builds, the whole investment is dead. AI identifies patterns in flaky behavior, inconsistent results not caused by real defects, and we eliminate them systematically. Every failure means something. When a build goes red, your team knows it’s a real bug, not noise – so they act on it instead of re-running and ignoring it.

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CI/CD & RELEASE OWNERSHIP

We Don’t Hand You Tests. We Own Your Release Readiness

Every automated test is wired into your CI/CD pipeline so it runs on every commit before anything reaches production. But automation is the tool, not the goal – the goal is a release you can ship without holding your breath. We commit contractually to it: a minimum of 80% automated coverage of your critical functions, at least 30 new automated tests every month, and a weekly readiness report. We start with Smoke tests that guard your critical user flows on every deploy, then build Regression coverage on top. You always know exactly where your release stands.

FAQ

Usually, yes. We start with an assessment of your existing suite, identify what’s worth keeping, and rebuild the brittle parts with AI-enhanced, self-healing locators. Most teams whose suite is breaking faster than it grows don’t need a rewrite – they need a maintainable architecture and the self-healing layer on top.

Playwright is our default for modern web apps: faster, cross-browser, parallelized out of the box. We use Selenium and Selenium Grid where legacy systems or enterprise environments require it, and Appium for mobile. We pick the right tool for your stack rather than forcing one framework on every project.

Fair skepticism. Specifically: AI generates test cases from your user stories, self-healing locators keep scripts alive through UI changes, AI selects the regression subset impacted by each change, and AI flags flaky-test patterns for elimination. The engineer reviews and owns every decision – AI accelerates the work, it doesn’t replace the judgment.

You own everything. Tests are written in standard Playwright, Selenium, and Appium – open source, exportable, documented. If we ever part ways, you keep the entire suite and the framework. No proprietary platform, no lock-in.

First automated tests typically run in your pipeline within the first two weeks. By day 30 you have a working framework live in CI/CD with Smoke coverage on critical flows, and we target 80%+ automated coverage of critical functions within 60 days.

Never per hour. You pay a fixed monthly rate for a dedicated senior QA engineer embedded in your team, with contractual deliverables: coverage targets, 30+ new tests a month, bug reporting within 24 hours, and weekly reports. You’re paying for release stability and a guaranteed output, not for clocked hours.

Testimonials

  • John

    VP Engineering, B2B SaaS

    “QA was the reason our releases were late. Now it’s our competitive advantage – regression went from five days to one once half the suite was automated.”

    5.0 rating

  • Michael

    CTO, eCommerce/Booking Platform

    “They set up in 30 days what our internal team couldn’t build in a year. Every deploy is automatically validated before it reaches staging.”

    4.0 rating

  • Ivan

    Head of Engineering, FinTech

    “The automation they built has self-healed through three major UI refactors without breaking once. Production incidents dropped sharply in the first quarter.”

    4.0 rating
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