AI systems failing ADA interpretability guidelines.
Unfair predictions impacting financial or healthcare decisions.
Unmeasured precision or recall metrics.
Model accuracy dropping with new data.
Ensure AI and ML models perform consistently across datasets, validating accuracy, precision, recall, and F1-scores against defined KPIs and business objectives.
Identify and mitigate algorithmic bias while improving explainability through fairness audits, SHAP/LIME analysis, and bias detection metrics for gender, race, or region.
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
Model Understanding & Scoping
Analyze model goals, inputs, outputs, and training data.
Test Data Preparation
Curate balanced datasets for validation, bias detection, and drift simulation.
Model Validation & Performance Testing
Measure prediction accuracy, latency, and throughput.
Bias & Explainability Audit
Identify model bias and validate decision traceability using XAI tools.
Data Drift & Continuous Monitoring
Set thresholds and triggers for ongoing performance evaluation.
Reporting & Optimization
Deliver detailed insights with corrective recommendations for retraining or tuning.
Key Benefits
Identify and mitigate bias across large, diverse U.S. datasets for fairer outcomes.
Ensure consistent accuracy, speed, and scalability in live AI applications.
Make AI behavior transparent with interpretability and traceability audits.
Detect data drift early and optimize model performance post-deployment.
Reduce QA cycles and increase coverage through AI-integrated pipelines.
Deep domain knowledge across Fintech, Healthcare, SaaS, and Retail sectors.
Ensure your AI meets ADA compliance while delivering transparent and reliable outcomes.
TECHNOLOGY EXPERTISE
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.
Project Portfolio
TESTIMONIALS
Validate AI decisions for fairness, accuracy, and compliance using Vervali’s end-to-end AI testing framework.
Delivering smarter, faster, and scalable digital solutions powered by intelligent automation and expert talent.
Smarter development and testing, fewer bugs. Our AI-driven frameworks enhance code quality, uncover hidden issues, and optimize coverage beyond human effort.
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.
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.
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.
Our engineers are trained to be multi-skilled (Dev + Cloud, QA + Automation). This reduces silos and helps clients achieve faster throughput with leaner teams.
We understand domain nuances. Whether BFSI, healthcare, retail, or SaaS – we’ve seen patterns, pitfalls, and best practices that accelerate success.
Turning Testing Gaps Into Quality Milestones
Reduced decision bias by 94%.
Improved diagnostic accuracy by 45%.
Optimized AI response speed by 65%.
Achieved ADA alignment within 6 weeks.
Strengthen model reliability and compliance across enterprise AI systems with our advanced testing solutions.
Our Expertise
Trusted by 150+ Leading Brands
A Strong Team of 275+ QA and Dev Professionals
Worked across 450+ Successful Projects