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Validate Responsible AI.
Build Models That Perform and Comply.

Ensure your AI and ML systems are accurate, explainable, and aligned with U.S. regulatory frameworks. Vervali — a trusted AI testing company in USA - helps enterprises achieve ethical AI with data-driven testing solutions.

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Transforming Business Challenges into Digital Wins

Regulatory Non-Compliance

AI systems failing ADA interpretability guidelines.

Model Bias

Unfair predictions impacting financial or healthcare decisions.

Unverified Performance

Unmeasured precision or recall metrics.

Data Drift & Quality Issues

Model accuracy dropping with new data.

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Our Services

Building & Testing Software That
Drives Success

Model Validation Testing

Ensure AI and ML models perform consistently across datasets, validating accuracy, precision, recall, and F1-scores against defined KPIs and business objectives.

AI Bias & Explainability Testing

Identify and mitigate algorithmic bias while improving explainability through fairness audits, SHAP/LIME analysis, and bias detection metrics for gender, race, or region.

Data Drift Testing

Continuously monitor input data and output performance to detect drift, ensuring that deployed models adapt correctly as real-world data evolves.

Our AI Testing Process

From Idea to Implementation

Key Benefits

Discover the Impact: How Our Service
Benefits Your Business

Bias-Free Models
Bias-Free Models

Identify and mitigate bias across large, diverse U.S. datasets for fairer outcomes.

High-Performance Validation
High-Performance Validation

Ensure consistent accuracy, speed, and scalability in live AI applications.

Explainable Intelligence
Explainable Intelligence

Make AI behavior transparent with interpretability and traceability audits.

Continuous AI Monitoring
Continuous AI Monitoring

Detect data drift early and optimize model performance post-deployment.

Automation-Led Testing
Automation-Led Testing

Reduce QA cycles and increase coverage through AI-integrated pipelines.

Proven AI Expertise
Proven AI Expertise

Deep domain knowledge across Fintech, Healthcare, SaaS, and Retail sectors.

Validate Responsible AI for the Future

Ensure your AI meets ADA compliance while delivering transparent and reliable outcomes.

TECHNOLOGY EXPERTISE

Driving Innovation with the Right Tech Stack

We combine AI assurance frameworks, model monitoring tools, and data validation platforms to ensure your models remain reliable and ethical through every stage of deployment.

Technology Expertise

Project Portfolio

Inspiring stories of digital transformations

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Bring Transparency & Trust to Your AI

Validate AI decisions for fairness, accuracy, and compliance using Vervali’s end-to-end AI testing framework.

Why Vervali?

Delivering smarter, faster, and scalable digital solutions powered by intelligent automation and expert talent.

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AI-Powered Engineering
AI-Powered Engineering

Smarter development and testing, fewer bugs. Our AI-driven frameworks enhance code quality, uncover hidden issues, and optimize coverage beyond human effort.

Global Yet Local
Global Yet Local

With experience across 15+ countries, we adapt to cultural nuances, time zones, and compliance demands – so clients feel we’re an extension of their own team, not an offshore vendor.

Culture of Long-Term Partnerships
Culture of Long-Term Partnerships

Many of our client relationships span 7+ years. We grow with you, providing continuity, domain expertise, and a deep understanding of your evolving tech landscape.

Battle-Tested Frameworks & Accelerators
Battle-Tested Frameworks & Accelerators

Clients don’t start from scratch. We bring pre-built AI-powered accelerators, automation libraries, and DevOps blueprints that cut setup and execution time drastically.

Hybrid Talent Advantage
Hybrid Talent Advantage

Our engineers are trained to be multi-skilled (Dev + Cloud, QA + Automation). This reduces silos and helps clients achieve faster throughput with leaner teams.

Proven Track Record Across Industries
Proven Track Record Across Industries

We understand domain nuances. Whether BFSI, healthcare, retail, or SaaS – we’ve seen patterns, pitfalls, and best practices that accelerate success.

Speak With an Expert

Challenges
into Triumphs

Turning Testing Gaps Into Quality Milestones

Biased Credit Model?

Reduced decision bias by 94%.

Drifting Healthcare Model?

Improved diagnostic accuracy by 45%.

High-Latency Inference?

Optimized AI response speed by 65%.

Non-Compliant AI System?

Achieved ADA alignment within 6 weeks.

Partner with USA’s AI Testing Experts

Strengthen model reliability and compliance across enterprise AI systems with our advanced testing solutions.

Frequently Asked Questions

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.

Need Expert QA or
Development Help?

Our Expertise

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  • AI & DevOps Solutions
  • Custom Web & Mobile App Development
  • Manual & Automation Testing
  • Performance & Security Testing
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Trusted by 150+ Leading Brands

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A Strong Team of 275+ QA and Dev Professionals

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Worked across 450+ Successful Projects

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