Right test, right layer
Logic tested in milliseconds, contracts at boundaries, journeys end to end. Cost and confidence balanced deliberately.
Quality Engineering
A test suite that takes four hours and fails randomly is worse than no suite at all — teams learn to ignore it. We build fast, deterministic, layered automation that runs on every pull request and gives a signal engineers actually trust.
0%
Average regression cycle reduction
0%
Critical-path automation coverage
0 min
Median pull-request test feedback
Overview
Most struggling suites are inverted: hundreds of brittle UI tests and almost no unit or contract coverage. We rebalance — fast unit tests for logic, contract tests at service boundaries, integration tests for wiring and a small, ruthless set of end-to-end journeys.
Flakiness is treated as a defect with an owner. We isolate test data, remove implicit waits, quarantine unstable specs and track flake rate as a first-class metric, because a suite people trust is the entire point.
Performance, accessibility and security testing shift left into the same pipeline, so load regressions and WCAG violations surface on the pull request that caused them.
Logic tested in milliseconds, contracts at boundaries, journeys end to end. Cost and confidence balanced deliberately.
Isolated test data, controlled clocks, stubbed third parties and zero shared mutable state between specs.
Parallelised execution with sharding, selective runs on changed code and hard quality gates on merge.
Effort allocated by business impact and change frequency, not by chasing a coverage percentage.
What we build
The components below are engineered patterns we have shipped repeatedly — not concepts we would be exploring for the first time on your project.
Page objects or screenplay pattern, typed fixtures, parallel-safe data and reporting that pinpoints the failure cause.
Consumer-driven contracts with Pact so services can deploy independently without an integration freeze.
k6 and JMeter scenarios with latency and throughput thresholds gating merges, plus soak tests on a schedule.
DAST scans, dependency checks and axe-core accessibility assertions run automatically on every build.
Cloud device farms across the OS and form-factor matrix your analytics say your users actually have.
Coverage by risk area, escaped-defect analysis, flake rate trend and cycle-time dashboards.
Capabilities
The full scope of the practice. Engagements typically draw on a focused subset — this is the bench you have access to.
Business impact
Figures are medians across delivered engagements in this practice. We will baseline your own numbers during discovery rather than promise these.
72%
Five-day manual regression replaced by an automated suite completing in under an hour.
↓ 64%
Measured over two quarters after introducing layered automation and merge gates.
6 min
Parallelised, selectively-scoped test runs keep engineers in flow.
< 1%
Sustained through data isolation, deterministic waits and an active quarantine policy.
Technology stack
Selected per engagement against your existing estate, your team's skills and total cost of ownership — never by partnership tier.
E2E & UI
Mobile
API & Contract
Performance
Unit & Component
Quality & Reporting
How we deliver
Six stages, each with a defined output. You can stop after any one of them and still hold something useful.
Review current coverage, cycle time, escaped defects, environment constraints and team capability.
Risk model, pyramid targets per layer, tooling decisions, environment and data strategy, entry and exit criteria.
Automation foundation, CI integration, parallel execution, reporting and a reference suite for the critical path.
Automate by risk priority, retire redundant manual scripts and add performance, security and accessibility gates.
In-sprint testing, developer-owned unit and contract tests, definition of done updated and pairing with engineers.
Suite maintenance, flake management, quality dashboards and quarterly strategy review against escaped defects.
Engagement models
Three commercial shapes. Most clients begin with an assessment and move into delivery once the plan is agreed.
From $12,000
Two to four weeks. Produces a prioritised backlog, target architecture, risk register and a costed delivery plan you own outright.
Most common
Scoped per phase
Well-bounded phases priced against agreed acceptance criteria. Suited to migrations, integrations and defined product increments.
Monthly retainer
An embedded team — lead, engineers, QA — working in your sprints and tooling with US-hours overlap from our India centre.
Indicative ranges for planning purposes. Final pricing follows scope confirmation — we do not quote before we understand the problem.
FAQs
Coverage percentage is a weak proxy and easy to game. We target risk coverage instead: every critical business journey automated, every service boundary under contract test, and high-churn or high-impact code held to a stricter unit threshold. A blanket 80% mandate usually produces tests written to satisfy the metric rather than to catch defects.
Usually, yes — and it is mostly not a tooling problem. The common causes are shared mutable test data, implicit timing waits, dependence on third-party sandboxes and tests asserting on implementation detail. We audit failure patterns, fix the top causes, quarantine the worst offenders and rebuild from a stable core. Trust typically returns within a few sprints.
Playwright for most new work: genuine cross-browser support including WebKit, better parallelisation, multi-tab and multi-origin handling, and strong API testing. Cypress remains excellent for component-level testing and has a superb developer experience. If you already have a healthy Cypress suite, migrating for its own sake is rarely worth it.
Yes. Managed QA pods — typically a lead, automation engineers and functional testers — embedded in your sprints with your tooling and your definition of done, reporting on agreed quality metrics. Available from our India delivery centre with US-hours overlap.
With evaluation rather than exact assertion: golden datasets scored against rubrics, semantic similarity thresholds, structural validation of outputs, groundedness and citation checks, plus adversarial prompt suites for safety regressions. These run as pipeline gates with thresholds, exactly like performance tests.
CI/CD, GitOps, Kubernetes, observability and internal developer platforms that make releases unremarkable.
Custom platforms, CRM, ERP, HRMS and workflow systems engineered for the way your business actually operates.
Offensive testing, SOC and SIEM, identity, cloud security and compliance programmes for ISO, GDPR and HIPAA.
Corporate sites, commerce, portals and headless platforms engineered for Core Web Vitals and conversion.
Quality Engineering
Send the context — current systems, constraints, what you have already tried. An architect from this practice will reply, usually within one business day.