- The QA lead assigned to your product maps your three highest risk areas, where things are most likely to break.
- Delivered in writing before the end of week one.
ThinkSys QA teams learn your product in two weeks, not three months. A written knowledge check at week two, a management overhead cap in the agreement, and a Zero Critical Bug Guarantee: money back if it fails, in writing.
A written breakdown of your biggest risk areas plus our recommendation. Yours to keep, whether or not you work with us. No pitch.
9% annual turnover. QA industry average: 30%.
Written recommendation delivered the same week. See how it works"I get to babysit."
Most QA vendors staff their engagements with freelancers. The person who learns your product is gone the moment a better contract comes along. Product knowledge resets. You start over.
That's not a quality problem. It's a model problem. There's no forcing function, no moment where the vendor has to prove they understand your product, or stop.
An employed QA team, assigned exclusively to your product, that learns it in two weeks and stays on it for years. Not freelancers who reset every time a better contract comes along. A written knowledge check at week two proves the lead understands your product before you commit. The pass or fail criteria are in the agreement before we start.
Recognized where it matters





We switched from QA Wolf and saw immediate gains. ThinkSys automated our regression suite in under 3 weeks, and our coverage jumped 2x.

ThinkSys became an extension of our dev team. Their Python-based test frameworks saved us 20+ hours/week in manual QA.
They know enterprise-grade QA. ThinkSys guided us through SOC2-compliant automation and helped us integrate with our CI/CD flow on GitHub.
Employed engineers, not freelancers. Hired through a 350 candidate filter, with 9% annual turnover against a 30% industry average. The engineer who learns your product in week two is still on your account at month eighteen.
QA automation cut Boostlingo's QA time by 90%. That is the result you get when the same engineers stay close to your product instead of cycling out every quarter.
Playwright automation roughly halved their regression cycle.
QA infrastructure fixes meant customers stopped finding the bugs first.
Written into the agreement before we start: a Zero Critical Bug Guarantee, a management overhead cap, and a free audit you keep whether or not you work with us.
A critical bug reaches a customer, we refund that month's fee in full.
Your team spends no more than two hours per week managing us after month one.
Pass or fail criteria defined before the engagement begins, not after.
A written breakdown of your current QA setup before the engagement starts.
A free audit first. Then a dedicated QA lead who learns your product and proves it, in writing, before you commit to anything.
A 30 minute call plus a written breakdown of your risk areas. Yours to keep.
Your assigned QA lead maps your three highest risk areas, in writing.
The lead presents it back to your team. Pass and the engagement continues.
The same engineer, dedicated to your product, at month eighteen.
Still carrying overhead from a vendor that was supposed to manage itself?