Confidence at the speed of delivery.
Quality engineering as an operating model, not a tool pile. We build the test architecture, automation and AI-accelerated quality gates that let teams ship daily without holding their breath.
three environments. Dev, UAT, Prod without duplicated test logic.
less scripting time with AI-assisted test generation (internal benchmark).
accessibility testing down to cognitive-ability depth.
Quality can't afford to lag behind innovation.
Release cycles are shrinking and digital experiences are scaling, but QA is caught in an impossible squeeze: guarantee confidence without slowing delivery. Most teams resolve it badly, in one of two directions.
Underinvested: the manual bottleneck.
Daily builds, manual regression. Testing becomes the queue everything waits in, until someone skips it and production finds the bug.
Over-engineered: a framework that needs its own team.
Automation so complex it is a second product: duplicated test logic per environment, flaky suites nobody trusts, maintenance eating the time it was meant to save.
Quality bolted on at the end.
QA brought in after the build, accessibility checked just before launch if at all. Defects surface at the most expensive possible moment.
The answer isn't more testing or less. It is an operating model where quality is built into how the team ships, and AI does the repetitive work so engineers do the judgment.
Six services. One quality operating model.
Quality is engineered in, not bolted on: tests written with the code, automated checks in CI, and release decisions backed by defect-density and coverage metrics, not gut feel.
Test Architecture & Strategy
Modular, multi-environment frameworks designed to scale across services without multiplying complexity.
Test Automation
Cypress and Playwright for functional and regression journeys, Appium for mobile, Percy for visual regression, Behat for BDD. Integrated into CI/CD so every deployment triggers the right suite.
API & Contract Testing
Cypress and Postman backend validation; endpoints verified against OpenAPI specs in CI for data integrity and safe releases.
AI-Accelerated Test Engineering
AI-generated test scripts, locators and refactoring through reusable accelerators, with every output peer-reviewed and CI-gated.
Accessibility Testing
Shift-left accessibility via our testing accelerator: automated checks per URL, component and viewport in CI, plus expert human testing to cognitive-ability depth.
Embedded QA Teams
Quality engineers operating inside your delivery team from sprint one, with regression reports flowing to Slack, Teams or email for full transparency.
Credentialed across the tools you ship with.
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The framework, in production.
Many sites, many launches, zero production bugs.
An embedded QA partnership across a large estate of Drupal sites: cross-browser, cross-device, multi-language testing with Behat automation. Across the sites that went live in the engagement, not one reported a production bug.
A QA process they could actually measure.
A consultative engagement to define Wildstyle Network's QA process and test-management setup in Xray and Jira: test suites, regression identification, and the tooling discipline that let them derive useful quality metrics with minimal effort.
From the top 100 to the top 22 in Silktide.
Facing enforced WCAG 2.1 AA regulations after the Government Digital Service's 2022 public-sector review, UEL needed accessibility treated as a testing discipline, not a checkbox. Five weeks of discovery and two years of continuous development, with automated checks per URL, per component and per viewport in CI, plus expert review for cognitive-ability barriers. Third-party audit validated the work and moved UEL's Silktide ranking from the top 100 to the top 22.
AI-native QE, governed like engineering.
We don't bolt AI onto testing. AI generates test scripts, locators and scaffolding through reusable accelerators; engineers own architecture, review and release judgment. Every AI-assisted output passes the same controls as the wider codebase: peer review, coding standards, automated checks, CI pipeline testing. When procurement asks where AI is used in testing, we have the documented answer.
Learn how we deliver →Quality engineering, in the open.
Ship daily. Sleep nightly.
Whether your regression suite is the bottleneck, your coverage can't keep pace with your roadmap, or accessibility just became a contract requirement, let's build the quality operating model that fits how your team actually ships.
The same team carries it through.
We don't hand the work to a build partner and walk out. The people who frame the bet are the people accountable when it ships. Read how the other capabilities plug in.