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Can You Trust Your AI? Let’s Make It Explainable.

Gain confidence in your AI systems with bias audits, explainability frameworks, and compliance-focused testing in the U.S.

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Make Your AI Fair, Transparent & Accountable

AI Bias Testing

Identify and mitigate model bias across race, gender, age, region, and language with fairness metrics and actionable insights.

Explainability Testing (XAI)

Test how and why ML models make predictions using interpretable methods like SHAP, LIME, and counterfactuals.

Compliance & Audit Reporting

Generate model risk reports and fairness dashboards aligned with GDPR, HIPAA, ISO, and regional AI regulations.

Can You Explain Your AI’s Decisions?

Our U.S.-based experts help validate and de-risk your AI with bias detection and explainable model outputs.

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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Detect and reduce model bias before regulatory issues arise

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Improve transparency and trust with explainable predictions

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Enable compliance with GDPR, HIPAA, and AI Ethics guidelines

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Boost user confidence and product acceptance through fair 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.

Responsible AI Starts with Explainability

Let us audit your models and expose risks you can’t afford to ignore.

Vervali Systems

Challenges into Triumphs

Turning problems into opportunities for growth and innovation

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Biased AI outputs impacting user trust and reputation

We implement bias detection tools and ethical AI practices to ensure fairness and build trust in your AI systems.

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Black-box models without interpretability

We utilize explainable AI frameworks to enhance model transparency and make predictions more understandable.

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Missing compliance alignment for fairness in sensitive domains

We ensure compliance with fairness standards by integrating ethical checks and regulatory guidelines into model development.

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No audit trail for model decisions in regulated sectors

We create comprehensive audit trails to track model decisions and ensure full compliance with industry regulations.

Frequently Asked Questions FAQs

It’s the process of checking ML models for unfair treatment based on protected attributes like race, gender, or region.

We use SHAP, LIME, counterfactual reasoning, and What-If tools to explain model decisions.

We can still test it using model-agnostic explainability tools and fairness audits.

Yes. We align with GDPR, HIPAA, ISO 27001, and local AI governance policies.

Yes. We support LLM bias testing and explainability for GPT-style and domain-specific large models.

Typically 5–10 business days depending on model complexity.

Yes. We collaborate closely with your ML engineers to ensure complete validation and remediation.

Let’s Make Your AI Accountable

Get a free consultation with our U.S. bias testing team and build AI users can trust.

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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phone

India – Mumbai

+91 7219-22-5262
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