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Smarter Testing for
Smarter AI

Accelerate AI adoption with advanced testing of ML pipelines, model drift, and prediction accuracy—trusted by U.S. enterprises.

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Key Testing Capabilities for AI-Driven Systems

Model Validation Testing

Ensure your AI models perform as intended by validating accuracy, precision, recall, and real-world applicability across diverse data sets.We help you meet performance thresholds before production deployment.

AI Bias & Explainability Testing

Detect and mitigate hidden biases in your models while enhancing transparency with explainability tools for trustworthy and ethical AI outcomes. Gain confidence with audit-ready reports that justify model behavior.

Data Drift Testing

Monitor changes in input data over time to detect drift early, maintain model relevance, and reduce prediction errors in production environments. Our automated pipelines ensure continuous evaluation and alerting.

Test Smarter. Deploy AI with Assurance

Discover how intelligent QA can transform your AI/ML model performance.

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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Achieve Higher Accuracy and Reliability Across All AI Models

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Ensure Bias-Free, Ethical, and Regulation-Ready AI Systems

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Maintain Peak Model Performance with Continuous Drift Monitoring

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Boost Stakeholder Confidence with Explainable and Transparent AI

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.

From Bias to Drift—We’ve Got You Covered

End-to-end testing to keep your AI reliable, ethical, and high-performing.

Vervali Systems

Challenges into Triumphs

Turning problems into opportunities for growth and innovation

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Unexplained AI decisions impacting user trust

We implement explainability frameworks to provide clear, human-understandable insights into model decisions.

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Hidden bias in training data leading to unfair outcomes

We conduct fairness audits and bias detection to uncover and correct skewed model behavior before deployment.

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Model performance degradation due to data drift

We set up continuous monitoring for data drift and automate alerts to retrain or recalibrate models in real-time.

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Inaccurate predictions from unvalidated models in production

We rigorously validate models using real-world test scenarios and ensure they meet precision, recall, and performance thresholds.

Frequently Asked Questions (FAQs)

AI & ML testing ensures that models are accurate, unbiased, and perform reliably across scenarios. It helps prevent errors, data drift, and ethical risks in production environments.

We use fairness testing frameworks and real-world data simulations to identify and mitigate hidden biases across gender, race, location, and other sensitive variables.

Model drift occurs when incoming data deviates from the training set, reducing accuracy. We monitor for data and concept drift, then trigger alerts or retraining workflows.

Yes. We integrate tools like SHAP, LIME, and custom logic to interpret how decisions are made, ensuring your models are transparent and compliant with regulatory standards.

We run performance tests on metrics like precision, recall, F1 score, and AUC across multiple datasets—both static and streaming—to ensure robustness in real conditions.

Absolutely. We offer continuous validation pipelines that monitor model performance, detect anomalies, and manage versioning in production environments.

Industries like finance, healthcare, retail, and logistics benefit the most—especially where accuracy, ethics, and compliance are mission-critical for AI systems.

Turn AI Accuracy Into a Competitive Edge

We help you build, test, and deploy AI that performs where it matters.

Vervali Systems
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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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