End-to-end quality engineering for regulated and high-traffic software.
Codeflux delivers QA and software testing services across functional, automation, performance, security, and AI layers. Our software testing services and QA testing services support product teams from first sprint to live release.
Functional testing validates business logic, user flows, and features across web, mobile, and API layers.
Automation accelerates regression and smoke cycles on Selenium, Cypress, Playwright, and Appium.
Performance tests measure response time, throughput, and stability under peak traffic using JMeter and K6.
Security testing finds vulnerabilities through OWASP Top 10 checks, penetration tests, and API fuzzing.
Mobile app testing validates iOS, Android, and cross-platform builds across real devices and networks.
API testing verifies contracts, authentication, and payload handling across REST, GraphQL, and SOAP.
Regression testing locks stability across every release inside Jenkins, GitHub Actions, and Azure DevOps.
AI-driven testing uses self-healing scripts, intelligent test generation, and predictive defect analytics.
QA reviews requirements, user stories, and acceptance criteria to define testable scope.
Output
Traceability matrix mapping every requirement to test cases.
We define test scope, types, tools, entry-exit criteria, and risk-based coverage priorities.
Output
Signed test plan with coverage scope and entry-exit criteria.
Engineers write manual cases and build automation scripts for regression and smoke suites.
Output
Manual test cases and ready-to-run automation suite.
We run functional, regression, performance, security, and API tests across each build.
Output
Detailed execution report with all defects logged in tracker.
Defects are prioritized, fixed, retested, and regressed before merging to release branch.
Output
Zero critical defects with full retest and regression sign-off.
We validate exit criteria, publish coverage metrics, and certify the build for production.
Output
Formal release sign-off with full coverage metrics.
QA reviews requirements, user stories, and acceptance criteria to define testable scope.
We define test scope, types, tools, entry-exit criteria, and risk-based coverage priorities.
Engineers write manual cases and build automation scripts for regression and smoke suites.
We run functional, regression, performance, security, and API tests across each build.
Defects are prioritized, fixed, retested, and regressed before merging to release branch.
We validate exit criteria, publish coverage metrics, and certify the build for production.
Cross-browser and cross-platform automation across web and mobile builds.
Hands-on validation by ISTQB-trained engineers catching edge cases automation misses.
Load, stress, and soak tests scaled to your real peak-traffic patterns.
Contract, payload, and auth validation across REST, GraphQL, and SOAP.
Real-device coverage across iOS, Android, and tablet form factors.
OWASP Top 10 sweeps, pen tests, and fuzzing across APIs and web surfaces.
Case authoring, run tracking, and defect routing inside your existing tracker.
Quality gates wired into your pipelines for unit, regression, and security checks.
Self-healing scripts and GenAI test data lower maintenance overhead per sprint.
Shipping digital products since 2015 across multiple industries and tech stacks.
We pick test frameworks based on your stack and release shape, not vendor relationships.
Our engineers span across the US, UK, Singapore, India, and Australia enable follow-the-sun coverage.
Self-healing scripts, GenAI test data generation, and predictive defect models inside our toolchain.
Weekly dashboards expose defect leakage, automation coverage, MTTD, and release readiness.
Multiple engagement models and pricing structures, with onboarding inside two weeks for most projects.
| Model | Best For | Team Size | Pricing Model |
|---|---|---|---|
| Dedicated QA Team | Continuous product releases | 4 to 15 testers | Monthly retainer |
| Managed QA Services | Full QA function ownership | 6 to 50+ engineers | Monthly retainer |
| QA Staff Augmentation | Skill-gap filling | 1 to 10 testers | Hourly |
| Project-Based Testing | Fixed-scope deliverables | Scope-dependent | Fixed price |
| On-Demand Testing | Burst capacity, hotfixes | 1 to 8 testers | Hourly |
| TCoE Setup | Enterprise QA standup | Consulting plus ongoing | Time and materials |
Book a free 30-minute QA audit. Our enterprise software testing services team will return three specific improvements you can ship this sprint.
QA and Software Testing Insights
Three reads from our engineering team on testing tactics and quality-engineering practice. Practical patterns you can apply on your next sprint without theory bloat.
User acceptance testing (UAT) is the final—and arguably most critical—step before a product goes live. It’s where business value is validated and the one question that truly matters gets answered: “Will this actually work for our users?”
Software testing is crucial regardless of project size, but it plays an especially vital role in large-scale initiatives.
In Australia, where mobile app usage has skyrocketed with a projected steady annual growth rate of 7.37% from 2022 to 2027, delivering a seamless and bug-free digital experience is paramount.
Drop us a line! We'd love to discuss your project.