Test Automation
Fast, scalable scripts running thousands of checks across browsers or builds, turning every release into a confident and predictable launch.
QA Madness ISTQB-certified QA engineers reduce release risk by combining structured testing practices with AI-powered test automation, giving software teams the quality they need to move fast with confidence.
From exploratory testing to full automation - we cover every dimension of software quality.
Fast, scalable scripts running thousands of checks across browsers or builds, turning every release into a confident and predictable launch.
Deep functional, regression, exploratory and UX testing performed by certified human testers who catch what automation misses.
WCAG-aligned audits and real-user checks that make your product inclusive, compliant, and welcoming to every visitor
Rigorous evaluation of AI features, prompts, and model outputs to keep your systems accurate, safe, and aligned with user intent
Independent review of your QA setup with a clear roadmap of fixes, tools, and processes that lift quality and cut waste
Dedicated team of senior QA engineers who integrate seamlessly into the development process, adapt to workflows, and deliver reliable testing from day one.
Our QA teams look beyond green checkmarks to validate how your product performs in real business conditions. We combine AI-assisted speed with human QA expertise to uncover edge cases, negative scenarios, and hidden risks before they reach your users.
Every one of these comes up in the first call. Here's how we handle them.
Development with AI code generators delivers features in hours, not days. QAs need to speed up to keep up pace with development.
AI drafts test cases from your specs and real user flows in minutes; our QA engineers refine and own them, so coverage scales without the manual grind.
We don’t just run the happy path. Senior QA engineers design edge case scenarios, cross-browser checks, and regression suites that catch what standard testing misses – before your users do.
AI tools write code and suggest fixes – they don’t validate outcomes. Our engineers provide the independent layer that confirms AI-generated code actually works under real conditions, edge cases, and user behavior
Representative figures from real engagements. Actual results vary by project scope, stack complexity, and starting point - we’ll give you a realistic estimate after understanding your specific setup.
Prefer to work without AI? That’s completely fine - a significant part of our work is traditional QA, and we never use AI tooling on a project without your explicit agreement. Just let us know your preference on the first call.
For each project, our Head of Automation assembles the AI agents the work actually needs - to analyze, design tests, automate, and maintain. They carry the repetitive load; a QA engineer directs them and signs off at every checkpoint. AI does the work, QA owns the quality.
QAM Hub – A platform built by QA engineers, combining test cases, checklists, AI generation, and automation reporting under one roof
Proprietary scanner that runs alongside functional agents – catching a11y violations automatically, without a separate audit cycle.
Trusted by product teams worldwide
We measure success in real outcomes - bugs caught, velocity increased, clients satisfied.
Join 500+ product teams who trust QA Madness with their software quality
Start a ProjectNo surprises. Clear milestones. Full transparency at every stage - from kick-off to final report.
We work with the tools your team already uses - or recommend the best fit for your stack.
Deep vertical expertise means faster onboarding, smarter test cases, and risks caught earlier.
Security-first testing for payment systems, trading platforms, and digital banking with regulatory compliance focus.
HIPAA-compliant testing for patient portals, diagnostic tools, telemedicine apps, and healthcare data systems.
End-to-end testing of checkout flows, inventory systems, PIM integrations, and Black Friday load scenarios.
Functional, performance, and compatibility testing for mobile games, web platforms, and streaming services.
API contract testing, multi-tenant testing, subscription flow validation, and continuous regression for SaaS products.
Testing tracking systems, route optimization algorithms, warehouse management, and carrier integrations.
An AI legal platform trusted by Fortune 50 companies needed a scalable QA process. We built the testing framework, expanded test coverage, and integrated automated testing into the CI/CD pipeline.
An AI-powered meeting platform required end-to-end testing. We established the QA process, validated AI workflows, and ensured release quality across browsers and operating systems.
A fast-growing investment platform needed structured QA without slowing development. We introduced testing processes and validated every release across multiple environments.
Practical guides, case studies, and deep dives on modern software testing.
Strategy
A single critical bug in production costs on average 100× more to fix than one caught in development. Here is how to calculate your risk exposure.
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Automation
We have run both on 50+ projects. Here is our honest take on speed, DX, community, and when to choose each – with real benchmark numbers.
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Case Study
From 14-day manual regression to 6-hour automated suite: a step-by-step breakdown of our approach, tools, and results.
Read articleWith QA Madness, you can be certain to get clear communication and transparent cooperation. You can learn more details about the practical aspects of this partnership during an introductory call with our team representative.
No. Most engagements deliver value within the first week - a prioritised test plan and the first round of findings - while deeper coverage builds in parallel.
You do. Every test case, automation script, and framework we build is yours, handed over with documentation so your team can run and extend it.
Not when scoped right. We automate the stable, high-value paths first and keep the suite maintainable, so it pays back in saved regression time quickly.
Absolutely. We don't build in silos. We work directly in your repository (Git/Bitbucket) and integrate with your existing tools (Jira, Slack, Jenkins, Azure), ensuring total transparency.
We plan for it from day one - clean documentation, knowledge-transfer sessions, and maintainable code mean your team can take over whenever you choose.