We built Testyr.ai because great software teams deserve great QA — without the overhead of building it in-house.
Senior engineering teams at funded startups and growth-stage companies ship software every day under real pressure. They deserve QA engineering that matches their velocity — not offshore manual testers, not a part-time junior hire, not a SaaS tool that generates brittle scripts. Testyr.ai exists to give them that.
We are a release confidence firm. Automation is the instrument.
Most QA firms sell test cases. Most offshore QA shops sell hours. Testyr.ai sells neither. We sell a specific outcome: the ability for your engineering team to merge code and deploy to production with justified confidence that they have not introduced a regression that will reach your customers.
That outcome requires more than a set of automated tests. It requires the right framework for your stack, the right coverage strategy for your risk profile, tests that are resilient enough to survive product changes without constant maintenance, and a reporting layer that gives your engineering and product leadership an honest view of quality over time.
We build all of it. We maintain all of it. We measure it — and we show you the numbers before and after every engagement. Our reputation is built on the difference between those two numbers.
The person behind Testyr.ai.
The engineer you talk to is the engineer who builds your test suite. No account managers, no offshore coordinators.
- 20+ years of QA engineering experience across SaaS, fintech, and healthtech — from seed-stage startups to enterprise software at scale
- Built and led QA automation programs at companies shipping 50+ releases per month with zero manual regression overhead
- Designed test frameworks adopted by engineering teams of 5 to 500 — always with the goal of making QA a team sport, not a gatekeeper function
Four principles that govern every engagement.
The earlier in the development cycle a defect is caught, the cheaper it is to fix. We build tests that run on pull requests, not post-merge. We help engineering teams write code with testability in mind from the beginning — reducing the cost of quality across the entire SDLC.
A test suite that runs manually is a suggestion. A test suite that runs on every pull request is a quality gate. Every automation we build is integrated into your CI/CD pipeline from day one — because feedback that arrives after the merge is too late to be useful.
100 tests that cover your 20 highest-risk user journeys are worth more than 1,000 tests that cover low-risk edge cases. We prioritize coverage by business risk and defect probability — not by test count metrics that look good in reports but don't prevent incidents.
We measure our success by defect escape rate reduction, regression cycle time improvement, and your team's actual ability to ship faster. Coverage percentage is a proxy metric. Defects that did not reach production is the real one. We report both — and we are held to both.
A structured process, every engagement.
Predictability is part of our value. You know what happens at each stage — including the specific deliverable you receive at each milestone.
We evaluate your current QA coverage, release cadence, defect history, and engineering team's testing experience. We review your existing test suites — if any — for quality, coverage gaps, and maintainability. You receive a written QA maturity baseline before we make any recommendations.
We design the right automation framework, coverage scope, and phased roadmap for your specific situation. We select tooling based on your stack and team, design the test architecture with maintainability in mind, and deliver a written scope with projected coverage targets and defect rate improvement before any build begins.
We build and integrate your test suite into your CI/CD pipeline. The first working suite is live within 30 days. We deliver full test documentation, a maintenance guide, and an engineer training session so your team understands and trusts what we have built — not just the test results it produces.
Every engagement closes with a quality metrics report: defect escape rate before and after, regression cycle time improvement, test coverage percentage, and suite flake rate. We compare actuals to our projections. If we missed a projection, we tell you why — and what we will do about it in the next phase.
Three alternatives — and why we compare favorably to each.
Offshore manual QA scales in hours, not outcomes. You get more test execution capacity, but the same slow, inconsistent, human-dependent process. Testyr.ai builds automation that runs in minutes on every pull request — eliminating the bottleneck instead of adding more people to it. The economics are better and the quality outcomes are categorically superior.
Freelance QA engineers bill by the hour, have no structured delivery process, and often produce test suites that only they understand. When they leave — and they leave — your coverage goes with them. Testyr.ai operates with a defined scope, projected outcomes, thorough documentation, and a post-launch period that ensures your team can maintain what we build independently.
A senior QA automation engineer costs $130,000–$180,000 in fully-loaded annual compensation — plus recruiting time, onboarding, management overhead, and turnover risk. Testyr.ai delivers the same depth of expertise at 40-60% of that cost, with no hiring lag, no management overhead, and no cliff when a key person leaves. Scale up or down as your QA needs change.
Ready to ship with confidence?
Start with a free QA maturity assessment. We will evaluate your current coverage, identify your highest quality risk, and tell you exactly what automated testing would return to your engineering team — before you commit to anything.