Visual AI

Reduce flakiness, speed up reviews, and see how teams like Peloton cut maintenance time by 78% using Visual AI.

Not all AI testing is the same. This post breaks down the differences between assisted, augmented, and autonomous models—so you can scale automation with the right tools, at the right time.

Applitools was recognized as the AI-Powered Test Automation Platform of the Year 2025 by CIO Review, highlighting innovation in intelligent, autonomous testing.

Learn how Applitools Autonomous, an AI-driven testing solution, can boost efficiency and ensure seamless functionality for digital banking platforms.

Modern ecommerce applications are more than digital storefronts. They’re immersive, complex experiences designed to captivate and engage customers—customers that spent well over $1 trillion in 2024 (over $220 billion during…

Introduction Visual regression testing, which validates user interfaces, plays a critical role in DevOps and CI/CD pipelines. The UI often impacts an application’s drop-off rate and directly affects customer experience….

Explore the limitations of traditional functional testing and learn how Visual AI testing can surpass these to achieve visual perfection in software development.

There are many metrics that drive the efficiency of an engineering team. These are easier to meet when your team is small but after the team crosses 50 engineers, it…

This article is based on our recent webinar, How to Enhance UI/UX Testing by Leveraging AI, led by Chris Rolls from TTC and Andrew Knight from Applitools. Editing by Marii…

“Full” test automation is approaching. We are riding the crest of the next great wave: autonomous testing. It will fundamentally change testing.

Learn what Visual AI is, how it’s applied today, and why it’s critical across many industries – in particular software development and testing.

Learn about the potential of AI for testing and how it can help improve the quality, velocity, and efficiency of Quality Engineering activities.