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95% test coverage. Without the hiring process — or the six-month wait.
Bringing a QA engineer on board feels like the right long-term move. But between hiring, onboarding and ramp-up, it's months before you see real coverage — and that's assuming you find the right person.
The hiring process takes longer than you think
Job posting, interviews, offers, notice periods. The average engineering hire takes 6–8 weeks. A QA engineer with automation experience takes longer. Meanwhile, your product keeps shipping without coverage.
Onboarding takes even longer
A new QA engineer needs time to learn your product, your stack, your release process and your existing test suite — if one exists. Expect 2–3 months before they work independently.
One person can only cover so much
A single QA engineer spends most of the week on three things: writing new tests, fixing the ones a UI change broke, and working out why a run failed. Building a suite from scratch while keeping up with weekly releases is a full-team job.
The cost adds up fast
Salary, benefits, tooling and onboarding. A mid-level QA engineer costs $70K–$100K per year before you see a single automated test.
3–6 months to hire and onboard$70K–$100K per yearOne person's typing speedDepends on capacity and skillNeeds setup timeHours of digging per failureCompetes with new test creationFixed headcount cost
First tests running the same dayCredit-based plans from $20/monthDescribe it, AI builds it95% with our QA expertsReady out of the boxAI explains root cause in minutesAI updates tests and adapts to UI changesScale up or down anytimeOwlity gives you the outcome you'd expect from a QA hire — automated coverage across your whole product — without the wait. Your team describes critical flows and AI builds the tests. Owlity runs them on every deploy, keeps them working when the UI changes, and explains every failure. Our QA team expands coverage on demand.
No job postings. No onboarding. No dependency on one person's bandwidth.
95% coverage, not a best effort
Not an estimate based on one person's capacity. A concrete outcome backed by 16 years of QA expertise.
Costs that make sense
Credit-based plans, no salary, no benefits, no annual commitment. You pay for the test runs you use — not for headcount.
Failures explained, not just flagged
Every run produces video, screenshots, network logs and a step-by-step timeline — and AI tells you the likely root cause and what to check next. You know what failed and why before the release goes live.
Up and running the same day
No hiring process, no onboarding, no ramp-up. Describe your first test today and have it running in CI before the end of the sprint.
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