The Agentic AI Testing Tool Fundamentally Changing the Pace of Quality

mabl was built on machine learning from day one. That foundation is what makes the difference when your team ships at speed.

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What Makes mabl Different?

Coverage That Holds Up to the Pace Your Team Ships

When teams ship dozens of PRs a day, every false positive slows the pipeline. mabl does more than heal broken selectors, it handles the kind of failures a human tester would dismiss on site to keep tests trustworthy, even with continuous deployments.

The Full Picture, Right Where You Need It

Account-level dashboards, quality scores, and flakiness reports across every workspace are surfaced to your team automatically, without anyone having to manually compile the data.

Built for Teams to Focus, Not Context Switch

Whether it’s an MCP connection to Claude, a results report in a developer’s IDE, failures getting routed to Jira, or notifications alerting your quality teams in Slack, mabl’s integrations bring agentic testing to the places your team is working.

AI-Native Test Automation: It's In Our DNA

mabl has been AI-native since its foundation in 2017. Nine years of machine learning investment is why this AI test automation platform handles the full testing lifecycle, not just the parts that were easy to automate first.

Gartner-recognized. 6x AI Breakthrough Award winner.

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The Case for mabl, From Every Angle

The Outer Loop Problem

AI coding agents are widening the quality gap faster than most teams realize. This is the problem mabl exists to solve.

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Agentic Testing

What it means for testing to be truly agentic, and why the distinction matters for teams shipping software at speed.

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mabl vs. Playwright

Playwright is great for unit tests and small functional requirements. For scalable end-to-end testing, it needs the power of mabl.

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Ready to See It?

Get a demo and see how mabl modernizes the testing lifecycle for teams shipping at agentic velocity.