Why
Vervali?

Why Vervali?

Data Security

Protecting digital information from unauthorized access, theft, or corruption.

Targeted Testing

Identifying specific areas of the website or application that are most critical or vulnerable to errors, and focusing testing efforts on those areas.

-30% Reduce Bug Cost

Through effective quality assurance practices, such as implementing automated testing, conducting regular code reviews etc.

Focused on Business goals

Aim to maximizing the website's potential to drive growth, increase revenue, and achieve other key performance indicators (KPIs).

-20% Testing Time

Through prioritizing testing efforts based on risk analysis and streamlining the testing process.

Risk Based testing

Involves identifying and prioritizing potential risks associated with a software application or system, and using this information to guide testing efforts.

Challenges into Triumphs

Turning problems into opportunities for growth and innovation

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AI models passing in sandbox but failing in production

We implement production-grade testing environments to simulate real-world conditions and ensure consistency across sandbox and production.

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Overfitting models with low real-world generalization

We apply cross-validation techniques and test against diverse data sets to prevent overfitting and improve model robustness.

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Unexplainable predictions creating compliance risks

We integrate explainable AI frameworks to ensure transparency and mitigate compliance risks by making predictions understandable.

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Lack of standardized validation processes in teams

We establish standardized AI validation protocols across teams to ensure consistent, reliable model performance and testing.

Frequently Asked Questions FAQs

It’s the process of assessing the quality, fairness, and robustness of AI/ML models before they’re deployed into production.

No, we test supervised, unsupervised, and reinforcement learning models based on your business use case.

It includes hypothesis testing, error analysis, cross-validation, and confidence interval reporting for predictions.

Yes, we offer black-box validation for vendor-supplied models or open-source implementations.

Yes, we integrate SHAP and LIME to test and visualize prediction reasoning.

Typically within 5–7 business days, including test metrics, risk analysis, and improvement recommendations.

Yes. We support API-based test automation in CI/CD pipelines across MLflow, Vertex AI, AWS SageMaker, and more.

Featured Insights

Embracing Accessibility

Vervali was commissioned to audit, identify and remedy over 2,000 URLs across all client platforms and solutions in accordance to the WCAG 2.0 guidelines with the objective to achieve AA Level of the 508 certifications.

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Automate Optimize and Drive Profitability

The offer loading and IP whitelisting was a process that was managed internally by our client. When they struggled to manage the increased volume, they reached out to us for help with manual data entry. Vervali analyzed the entire manual process and produced an automation plan and framework.

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A Bug Free Reward Program

To sustain an intensely competitive landscape of frequent flyers and loyalty programs our client was making every effort to engage & retain its customers by introducing increased benefits and new products. However, the introduction of these new changes without proper testing made their website more vulnerable and multiple defects.

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Digital Onboarding, Separation and Asset Management

With the increasing customer base, our client was enjoying great traffic and demand for their software. However, to sustain this increased growth, our client knew that they had to constantly upgrade their product. While they had introduced software to digitize the employee onboarding process. However, there were still many manual processes still in play. Our client needed a strategic partner, who can act as an extension of their team and help them digitize the manual processes.

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