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Our experts audit your current QA process, define where defects actually originate, and design an automation architecture that precisely fits your stack.
What you get:
We can build the automation framework from scratch, wire it into your CI/CD pipeline, and hand it off with full documentation that your team can maintain.
What you get:
We cover every layer that can break, including UI, APIs, and integrations, across all major browsers and environments.
What you get:
Our QA engineers design, implement, and maintain automation that covers device fragmentation, OS version differences, and native app interactions.
What you get:
Discover how we have implemented QA automation and what results have held up in production.
9,109 automated test case runs
On this project, we worked with a market-leading bank in the Middle East. Our experts built an Appium-based automation framework from scratch. They integrated it into the existing CI/CD pipeline via Bitrise and wired test results directly into Jira and Slack. Any team member, not only QA engineers, can now trigger targeted, platform-specific, or full regression test runs on demand.


2 production platforms delivered on schedule
For Accuro Solutions, we developed two interconnected platforms to handle automated medical bill processing and payment workflows. Given complex domain logic, it would have been hard to deliver solutions in time with manual testing cycles. We embedded QA automation across both products to continuously monitor the quality of the code before it can reach production.


1,000,000+ active members
Akveo partnered with MASA Global to transform manual workflows into a digital ecosystem serving. Our team developed a cross-platform web portal and mobile application using Angular and Ionic, fully backed by automated unit and integration tests. CI/CD pipelines were configured through AWS to ensure that every commit passed the full automated suite before reaching staging.


We build automated processes that don't break when your codebase scales.
Every engagement starts with a framework audit to define the right tool stack, abstraction layer, and CI/CD integration strategy from day one.
We build dashboards and failure summaries that give your engineering leads, product owners, and executives full visibility into the quality of your software.
We create automation suites across a wide range of verticals and know where each domain breaks differently.
We can cover web, mobile, APIs, and microservices within a single automation framework. This eliminates fragmented toolsets and improves collaboration across teams.
Security validation is built directly into the testing process. Automated vulnerability scans and authentication checks run alongside functional tests.
Our AI-driven testing capabilities are powered by real-world project experience. We integrate AI into production QA workflows to improve speed and test effectiveness.



Manual QA can become a deployment ceiling. Let's automate your software testing so that deployment frequency becomes your strategic advantage.
Automated regression suites cut test execution from days to hours, so your CI/CD pipeline ships without the manual bottleneck.
A well-architected test framework can reduce testing maintenance costs by up to 70% compared to an equivalent manual operation at the same level of coverage.
Automation facilitates defect detection at the unit or integration stage. These bugs are cheaper to fix than those caught post-release.
Scripts run identically across staging, pre-prod, and production mirrors. This excludes configuration drift.
Each code push triggers the full suite automatically. Your team ships new features without manually re-verifying existing ones.
Automated load and stress tests expose the exact concurrency threshold where your system degrades before your users can find it.
Every test run produces structured logs and pass/fail records. As a result, you have a single source of truth for compliance reviews and stakeholder reports.
Test suites that once took 8 hours can be completed in less than 45 minutes through distributed execution.
Every tooling decision is driven by your architecture, project scale, and your team's existing knowledge.
Whether you need implementation support or a dedicated QA automation team, we can offer a model that fits.
We can assemble a fully independent QA team that will work as an extension of your engineering department.
Best for: Products in active development, teams scaling release cadence, enterprises with complex multi-service architectures
You define the scope, hand it over, and get it done. We take full responsibility for the entire delivery lifecycle.
Best for: MVPs, feature delivery with a hard deadline, product modernization
Inject our senior QA automation experts directly into your existing team. They will follow your processes and close the coverage gaps your current setup can't handle.
Best for: Teams that need specific expertise or a temporary capacity spike before a major release
70% of our partners continue working with us for more than 2 years.
This process presupposes using specialized software tools to execute tests on application code automatically. In traditional testing, a human manually clicks through every single button and form after a software update. When it comes to QA automation, scripts handle the repetitive validation. Automation provides your team with instant feedback on software health and ensures fast-moving deployment pipelines.
Manual quality assurance relies on human skills. QA engineers need to explore the application to discover unexpected user-experience bugs and edge cases. Automated QA uses pre-written scripts to run thousands of identical, repetitive tests instantly. Manual testing is the most optimal choice for new features and visual design. Automation becomes a better option for regression testing. It helps you keep your day-to-day deployment pipeline moving fast.
The biggest advantages are high speed and efficiency. Automated testing runs in minutes instead of days, which is typical for manual processes. It allows your team to deploy code multiple times a day safely. Automation eliminates human oversight on repetitive tasks, catches regressions early, expands test coverage across diverse devices, and frees your team to focus on building features.
Pricing varies based on numerous factors. To estimate the required budget, QA experts need to analyze your tech stack's complexity and the number of active pipelines. Moreover, it is important to understand whether you are building a framework from scratch or scaling an existing one. At Akveo, we offer custom pricing following an initial pipeline audit. This ensures that you invest only in automation infrastructure that directly accelerates your specific release cycles.
With AI, QA processes are not limited to predefined test scripts. AI is used for self-healing tests that automatically update themselves when your UI layout changes. Artificial intelligence can also analyze code changes to predict where bugs hide. This ensures that your continuous deployment pipeline stays fast and low-maintenance.
