Quality Assurance
No more 3AM bug calls. No more “it worked on our machines.” The client who finds a bug before you do doesn’t just file a ticket — they start asking questions about what else you missed. We run QA as a continuous layer throughout the build, not a gate at the end of a sprint. Every build covered. Every edge case hunted. Deploy on Friday without the weekend watch.
Schedule a Free Consult See pricing →How It Works
Manual QA processes take days, cover a fraction of the paths, and only run at the end of a sprint. AI-augmented QA runs the whole time, catching issues the moment they’re introduced, not after they’ve propagated through the codebase.
We feed specs and implementation into AI tools that generate test cases covering happy paths, edge cases, and boundary conditions, in hours, not weeks.
The full test suite runs on every commit. Issues surface the moment they’re introduced, not after three sprints of compounded breakage.
Senior QA engineers focus on what AI can’t replicate, real-world usage patterns, exploratory testing, adversarial edge cases, and production load simulation.
We don’t sign off until the build runs clean under production-representative load. Staging environments mirror prod. No surprises on deploy day.
Two Layers, One Practice
AI excels at coverage, repetition, and speed. Things that would take a QA team weeks to write and maintain, AI generates and keeps current automatically.
Senior QA engineers focus on what AI gets wrong, understanding how real users behave, finding the paths no spec described, and breaking things intentionally before production does it for you.
The Real Numbers
Let’s Talk
Most engagements start with a single conversation. Tell us what’s broken, what’s slowing you down, or what you’re trying to build. We’ll give you a straight answer, no pitch deck, no fluff. If we’re a fit, great. If not, we’ll tell you that too.
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