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Launching AI Models? Validate Before You Scale.

Guarantee scalable, compliant AI output through statistical model validation and testing, tailored for U.S. standards.

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Ensure Your ML Model is Valid, Accurate & Production-Ready

Functional Validation

Validate ML model performance across edge cases, business goals, and real-world variability before deployment.

Statistical Validation

Conduct hypothesis-driven statistical testing to ensure consistency, accuracy, and model confidence intervals.

Compliance & Risk Validation

Assess risks like model overfitting, data leakage, and non-compliance with privacy or regulatory standards.

Launch Smarter With Validated AI

We verify your AI models for accuracy, risk, and compliance with U.S. AI testing standards.

Vervali Systems

Versatile Across Industries, Focused on Your Business

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Built with the Tech That Powers the World

Microsoft

Our Process: From Idea to Execution with Precision

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Requirements

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  • Requirements Review
  • Q & A
  • User Personas
  • Usage Statistics

Test planning

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  • Sprint Planning
  • Resourcing
  • Story Traceability
  • Test Environments

Test Prep

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  • Sprint Refinement
  • Test Cases Creation
  • RTM
  • Test Data Creation

Test execution

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  • Exploratory Testing
  • Regression Testing
  • Automation, Performance, Security, 508c
  • Cross Browser, Multi Device testing

Go live & support

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  • Prod Sanity
  • Hotfixes
  • User Feedback
  • Review & Retrospective

Key benefits

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Prevent faulty AI decisions with pre-deployment validation

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Ensure models align with business KPIs and ethical standards

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Minimize legal and financial risk through rigorous testing

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Optimize model performance and reduce drift issues over time

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.

Validate. Comply. Scale.

Our U.S.-based ML validation experts test for edge cases, explainability, and statistical soundness.

Vervali Systems

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.

Final QA Check Before You Deploy? We’ve Got You.

Connect with our U.S. team and ensure your AI is tested, trusted, and ready to launch.

Vervali Systems
ZigZag Border Insight Dots Group

We are excited to hear your idea and we are always open to discuss it! Tell us a bit more about you and the project you have in mind.

Book Your Free Strategy Call

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Vervali in a brief:

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15+

years of

Industry Experience

250+

Experts

Onboard

ISTQB-

Certified

Test Engineers

Upwork ISTQB Certification 1 Certification 2

Contact Us

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India – Mumbai

+91 7219-22-5262
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