// Clients we test for
We don't talk about quality in the abstract. Every engagement is measurable. Every outcome is documented. Here's what that looks like in practice.
A European impact investment platform had just failed a critical country rollout. Ten more were queued. spriteCloud stepped in, rebuilt the QA approach from the ground up, turning a release cycle that ran 3–6 months into a monthly cadence with zero critical bugs in production.
Seven teams, seven toolsets, replaced by one shared automation framework. Regression that took hours of manual clicking now runs in 10 to 30 minutes.
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The complete citizenM mobile guest journey, tested on production in a real hotel: booking, check-in, room controls and check-out.
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A four-day grey box pen test days before going live: four medium findings, zero critical issues, and a launch with confidence.
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Ben's app serves 600,000 users with a two-developer team. Automation set up in six weeks, then handed over to the team.
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An architectural change with unknown performance impact, tested in three weeks. The platform went on to serve twice the concurrent users.
Read the case study →Not what the brief says is broken. Every engagement starts with a QA Health Check that maps the real risk: technical, organisational, and commercial.
"Not more testers. Smarter testing."
Risk-based strategy means explicit decisions about what gets tested at what depth. Every case study on this page has a clear non-negotiable: the thing that cannot reach production broken.
"The most expensive defect is the one you find in production."
Go/No-Go is a decision, not a feeling. Every engagement ends with a KPI dashboard that stakeholders can read before they read the morning news. That's how trust gets built.
"Quality is not a phase. It is a management discipline."
They rewrote an automation suite in two weeks that had taken our previous team nearly a year. Speed like that comes from knowing exactly what you're doing.
No pitch deck. A direct conversation about what you're building, what could go wrong, and what good QA actually looks like for your stack.