Validate ML model performance across edge cases, business goals, and real-world variability before deployment.
Conduct hypothesis-driven statistical testing to ensure consistency, accuracy, and model confidence intervals.
Assess risks like model overfitting, data leakage, and non-compliance with privacy or regulatory standards.
Detect flaws, prevent AI failures, and ensure consistent outcomes through our robust model QA approach.
uptime for banking platforms
conversion with personalized AI recommendations
engagement with dynamic ad targeting
patient wait times with AI scheduling
manuall payroll errors with automated processing
learner engagement via adaptive content delivery
check-in time with mobile-first experiences
quote-to-policy conversions with instant underwriting
memeber retention with personalized rewards
delivery delays through AI-powered routing
battery life predictions with real-time monitoring
lead generation via AI0driven property recommendations
delivery times with optimized order routing
2x faster with smart scheduling, real-time tracking, and optimized routing
Prevent faulty AI decisions with pre-deployment validation
Ensure models align with business KPIs and ethical standards
Minimize legal and financial risk through rigorous testing
Optimize model performance and reduce drift issues over time
Safeguard your digital assets with stringent measures against unauthorized access and data loss.
Prioritize critical areas of your software to achieve impactful results.
Reduce expenses associated with defects through proactive quality assurance practices like automation and code reviews.
Align testing efforts with business objectives to drive growth and achieve KPIs.
Optimize processes with risk-based prioritization to accelerate delivery.
Target potential risks effectively to guide testing efforts and ensure robust software quality.
Our model validation testers in India catch what others miss – before your users find out.
We implement production-grade testing environments to simulate real-world conditions and ensure consistency across sandbox and production.
We apply cross-validation techniques and test against diverse data sets to prevent overfitting and improve model robustness.
We integrate explainable AI frameworks to ensure transparency and mitigate compliance risks by making predictions understandable.
We establish standardized AI validation protocols across teams to ensure consistent, reliable model performance and testing.
Book a 30-minute QA consultation and future-proof your AI for India’s digital landscape.
Vervali was commissioned to audit, identify and remedy over 2,000 URLs across all client platforms and solutions in accordance to the WCAG 2.0 guidelines with the objective to achieve AA Level of the 508 certifications.
DownloadThe offer loading and IP whitelisting was a process that was managed internally by our client. When they struggled to manage the increased volume, they reached out to us for help with manual data entry. Vervali analyzed the entire manual process and produced an automation plan and framework.
DownloadTo sustain an intensely competitive landscape of frequent flyers and loyalty programs our client was making every effort to engage & retain its customers by introducing increased benefits and new products. However, the introduction of these new changes without proper testing made their website more vulnerable and multiple defects.
DownloadWith the increasing customer base, our client was enjoying great traffic and demand for their software. However, to sustain this increased growth, our client knew that they had to constantly upgrade their product. While they had introduced software to digitize the employee onboarding process. However, there were still many manual processes still in play. Our client needed a strategic partner, who can act as an extension of their team and help them digitize the manual processes.
Download15+
years of
Industry Experience
250+
Experts
Onboard
ISTQB-
Certified
Test Engineers
India – Mumbai
+91 7219-22-5262Email ID
[email protected]