Managed QA Services

Our team covers all testing facets, tailoring tools and processes to fit your culture, powered by our AI model, PrecisionAI.

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Model Work Shape

How does this model work?

1.
We review your project

We review your project requirements, goals, and unique needs. This involves in-depth discussions.

2.
Transparent costing

Following our in-depth review, we provide a clear and competitive estimate outlining the scope of work, timeline, and associated costs.

3.
Perfect team composition

We assemble a team with the most suitable domain expertise, ensuring that testing is performed with industry-specific insights.

4.
Extensive testing

In our QA services, we use testing tools and processes that align with your team’s culture, backed by our proprietary AI model, PrecisionAI, for optimal precision testing.

5.
Profitable feedbacks

The model promotes a feedback loop with our clients, enabling continuous refinement of our QA processes. This involves activities like check-ins, surveys, and performance metrics.

Client Successes Shape

Strategic model highlights

Testing cycle takeover

Testing cycle takeover

We become your one-stop shop for all things QA. We handle planning, automation, execution, and reporting.

Strategizing every approach

Strategizing every approach

We don’t believe in one-size-fits-all solutions. We align our testing strategies with your goal and strategize outsourced software testing if required.

Quality monitoring

Quality monitoring

The model provides ongoing monitoring and reports, identifying potential issues early.

Sets Us Apart Shape

What sets us apart?

Utilize our data-driven insights and continuous improvement to evolve your product and exceed expectations.

Data Collection

Data collection

We gather rich data from every development lifecycle stage, encompassing user feedback and defect trends.

Actionable Insights

Actionable insights

We use advanced analytics to identify patterns, predict potential issues, and prioritize testing efforts accordingly.

Early Risk Mitigation

Early risk mitigation

We use data to predict potential software quality issues before they manifest.

Data Collection

Data collection

We gather rich data from every development lifecycle stage, encompassing user feedback and defect trends.

Actionable Insights

Actionable insights

We use advanced analytics to identify patterns, predict potential issues, and prioritize testing efforts accordingly.

Early Risk Mitigation

Early risk mitigation

We use data to predict potential software quality issues before they manifest.

We adapt to your dynamic needs, growing with your project and providing on-demand expertise.

Data Collection

Faster release cycles

Our close collaboration and early defect identification assist and promote faster release cycles.

Actionable Insights

Improved project visibility

You have transparent access to our testing processes, ensuring complete control and informed decision-making.

Early Risk Mitigation

Sustainable quality culture

We empower the team with best practices that build a lasting foundation for high-quality software.

Data Collection

Faster release cycles

Our close collaboration and early defect identification assist and promote faster release cycles.

Actionable Insights

Improved project visibility

You have transparent access to our testing processes, ensuring complete control and informed decision-making.

Early Risk Mitigation

Sustainable quality culture

We empower the team with best practices that build a lasting foundation for high-quality software.

Say goodbye to surprises and embrace zero risks with our services. Keeping you well-informed at every stage will align our success with yours.

Data Collection

Open communication channels

We invite your questions at any stage. Always ready to address your concerns.

Actionable Insights

Regular progress meetings

We proactively update you on progress, discuss findings, and collaborate on strategies.

Early Risk Mitigation

Detailed reporting

We keep you informed with reports outlining test plans, executed tests, identified issues, and remediation actions.

Data Collection

Open communication channels

We invite your questions at any stage. Always ready to address your concerns.

Actionable Insights

Regular progress meetings

We proactively update you on progress, discuss findings, and collaborate on strategies.

Early Risk Mitigation

Detailed reporting

We keep you informed with reports outlining test plans, executed tests, identified issues, and remediation actions.

Engagement Problems ShapeEngagement Problems Shape

Explore how we engage unique problems.

We strategize our services by your unique needs.

Our Resource Shape

Our Resources

Explore our insights into the latest trends and techniques in testing.

How AI-Driven Test Automation Enhances Business Efficiency and Reduces Costs

How AI-Driven Test Automation Enhances Business Efficiency and Reduces Costs

  • Nov 15, 2024

If there was a way to make your software testing faster, more accurate, and much less expensive, wouldn’t that be a game changer? That’s exactly what AI test automation is making possible. Traditional testing methods are slow, tedious, and expensive—especially as software gets more complex. Manual testing is time-consuming, brings errors throughout the process, and is a costly proposition. However, these problems can be overcome with AI-powered automation.

Shift Left Testing Approach: What It Is and Why It’s Essential in QA

Shift Left Testing Approach: What It Is and Why It’s Essential in QA

  • Nov 8, 2024

Shift Left Testing is all about moving testing further left, as far up the development process as possible. Tight schedules are another favorable factor in testing early and often so that the development process is smoother and of higher quality. Wondering how this approach works and why it’s causing such a massive shift in development practices? Now, let’s look at how Shift Left Testing makes efficiency, quality, and collaboration the focus of software development.

What is Test Observability in Software Testing?

What is Test Observability in Software Testing?

  • Nov 4, 2024

In software testing, it is our job to understand how applications behave in their real-world environment. With observability, teams gain a better view: not just detecting issues but understanding why they’re occurring in the first place. In testing observability, unlike traditional monitoring, which typically signals when things go wrong, observability focuses on why and where it happened so the team can optimize system health.

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