QA &
testing.
End-to-end quality engineering services, strategy, automation, performance, security, accessibility and continuous testing delivered by integrated teams under one framework.
A complete quality practice from strategy to operation.
From programme-level test strategy and automation engineering to performance, security, accessibility and continuous testing, our practice spans the full lifecycle of modern quality delivery.
Test strategy & QA advisory
Programme-level quality strategy, test pyramid modelling, risk-based coverage, environment planning and defect economics, grounded in the shape of your product and delivery organisation.
Functional & regression testing
Manual and automated functional coverage across web, mobile and enterprise applications, with structured regression suites, exploratory practice and defect triage integrated with delivery.
Test automation engineering
Automation frameworks engineered for maintainability rather than headline coverage, with page-object models, data-driven patterns, parallelisation and clear cost-of-ownership economics.
API & contract testing
Contract-first API testing across REST, GraphQL and event-driven services, with consumer-driven contracts, schema validation and integration coverage aligned to the actual dependency graph.
Performance & load testing
Load, stress, endurance and spike testing designed around measurable service-level objectives, instrumented to isolate bottlenecks and to inform capacity planning, not just to produce a report.
Security testing
Static and dynamic application security testing, dependency scanning, penetration testing and secure-by-design reviews, aligned to OWASP practices and relevant regulatory frameworks.
Accessibility testing
Structured accessibility testing against WCAG 2.2 AA, combining automated tooling, manual audit and assistive-technology testing, with evidence produced for regulatory alignment.
Mobile & cross-platform testing
Coverage across native iOS, native Android and cross-platform applications, including device-farm strategy, OS-version matrices, network-emulation testing and store-release verification.
Visual & UI regression testing
Pixel-diff and structural visual regression across design-system components and product surfaces, engineered to catch unintended UI change without the noise of naive screenshot suites.
Continuous testing in CI/CD
Testing integrated into build and deployment pipelines, with tiered execution, quality gates, flake management and observability of pipeline health as first-class concerns.
Chaos engineering & resilience testing
Controlled fault-injection, game-day exercises and resilience testing, designed to validate that systems degrade gracefully under real-world failure modes and that incident response actually works.
Managed QA & dedicated teams
Dedicated QA teams operating under a managed-service model, integrated with client engineering, providing continuity across releases and predictable capacity for multi-product organisations.
A structured, iterative approach from assessment to operation.
Our delivery framework integrates strategy, engineering and operations under a single model, designed for transparency, adaptability and outcome alignment.
Assess
A structured assessment of current quality posture, test coverage, automation maturity, defect economics, environment strategy and organisational shape. The output is a prioritised improvement plan.
Design & establish
Design of the target testing operating model, strategy, framework, environments, tooling and roles, with reference implementations that de-risk the highest-value coverage first.
Deliver & integrate
Iterative delivery of coverage and automation, integrated with client engineering pipelines. Cross-functional teams span QA engineering, performance, security and platform.
Operate & evolve
Ongoing quality operations, observability of pipeline and product health, and continuous improvement of the coverage economics. Knowledge transfer is designed into the engagement, not appended to it.
A modern quality engineering toolchain.
Tool selection is guided by your existing landscape, team capability and long-term operating model, not by preference.
Cypress
Playwright
Jest
Selenium
Appium
k6
JMeter
PostmanNNewman
TypeScript
Python
Java
GitHub Actions
Docker
Kubernetes
AWS
Datadog
Sentry
Grafana
PrometheusProgrammes delivered on this practice.
Common questions from prospective clients.
If your question isn't addressed here, please reach us at hello@tekansa.com.
01What types of QA & testing engagements do you deliver?
We deliver a full range of quality engineering engagements, from programme-level test strategy and automation build-out through managed QA services, performance and security testing, and quality-transformation programmes for multi-product organisations. Engagements are scoped around business outcomes and staffed with the right composition of test engineering, performance, security and accessibility capability.
02How do you approach test automation and framework design?
Automation is engineered for long-term maintainability rather than short-term coverage numbers. Our practice covers framework architecture, page-object modelling, data strategy, parallelisation, environment management and defect economics, with structured governance to prevent the flake, drift and technical debt that typically undermine automation programmes at scale.
03How do you approach performance, load and reliability testing?
Performance testing is designed around measurable service-level objectives, not around producing a report at the end of delivery. We plan load, stress, endurance and spike testing against defined thresholds, instrument execution for isolation of bottlenecks, and feed results directly into capacity planning and reliability engineering practices.
04How do you integrate testing into CI/CD pipelines?
Continuous testing is treated as a pipeline discipline. Our practice covers tiered execution strategies (unit, integration, contract, end-to-end, visual, performance), quality gates, structured flake management and pipeline-health observability, designed so testing accelerates delivery rather than gates it.
05How do you scale QA across multiple product teams?
QA at scale is a delivery-model problem, not a headcount problem. Our practice covers testing operating models, shared frameworks, centres of excellence, dedicated managed teams, and career pathing for quality engineers, designed to give multiple product teams consistent quality without central bottlenecks.
Let's discuss your quality engineering needs.
Share a brief overview of your objectives and we'll arrange an introductory conversation with the relevant practice leadership. Every enquiry receives a direct response.