Analytics is the lifeblood of a company like Sensormatic Solutions. They use in-store customer behavior to produce analytics that let their clients improve conversion rates and transaction size. As such, it’s important that they produce meaningful, usable, and accurate analytics - making quality an integral aspect of their business. Hear directly from QA Manager Adeeb Valiulla on how he transformed Sensormatic Solutions’ QA practices by taking an automation-first approach - with the help of mabl. Learn how he and his team quickly implemented mabl and increased test coverage by 50%, drastically reduced the time to create a test suite - from one week to one day, increase production deployments by 300%, and decreased bugs in production by 50%.
Quality Engineering Resources
Three Years of Building Agents in Production (Part 1)
A technical look at how mabl moved from PaLM experiments to GenAI Assertions using LLM-as-a-judge, auto-healing, and retrieval-augmented context.
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5 Best Agentic AI Testing Solutions for Modern QA Teams
Compare the best agentic AI testing solutions for end-to-end QA. See how mabl, Playwright, UiPath, Functionize, and Testsigma differ.
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Playwright vs Claude Code for Testing: Where Each Fits in Modern QA
Compare Playwright vs. Claude Code for testing, including workflow fit, maintenance trade-offs, and where mabl adds an agentic layer at scale.
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