mabl Named a Challenger in First Gartner Magic Quadrant for Agentic QA

A first placement after an Honorable Mention

According to mabl, the Challenger placement follows an Honorable Mention in the 2025 Gartner Magic Quadrant for AI-Augmented Software Testing Tools. The 2026 report, authored by Ross Power, Sushant Singhal and C.A. Swan and dated 6 October 2026, is the first to carry the Agentic Software Quality Assurance Platforms title.

The Boston-based company says it believes the placement reflects its focus on innovation and on giving engineering teams "an independent verdict on whether software is ready to ship." The statement is mabl's own interpretation of the result, not a finding by Gartner.

The problem: code is written faster than it is validated

The announcement leans on a line from Gartner's research: "AI coding agents are generating software faster than teams can validate it. Traditional approaches to testing cannot keep pace, increasing the risk of defects and creating security vulnerabilities."

Dan Belcher, co-founder of mabl, framed the company's pitch around that gap. "Speed was never the hard part. Confidence is," he said. He added: "The agent that writes the code can't be the one that signs off on it." Belcher said mabl's customers rely on it for an independent check that keeps pace with their coding agents, and for a verdict and paper trail they can stand behind before shipping.

Product updates since the evaluation period

mabl says it has continued to release new capabilities since the evaluation period for the Magic Quadrant closed. The company lists four areas:

• Verification from inside the coding agent: developers can create, edit and run mabl tests directly from their AI coding agent, and create tests locally and in parallel from the terminal.
• Resilient tests that maintain business requirements: mabl's agent harness keeps business requirements intact even as tests heal. New test recovery measures are meant to reduce the time builders spend repairing tests.
• Deeper failure insights in plain language: builders can see why a test failed without digging through logs, and failures are categorized at scale to highlight trends.
• Enterprise governance: faster and more resilient private connections, along with company-level quality insights, are intended to give enterprises visibility and control.

What comes next

mabl plans to unveil the next stage of its vision at Experience 2026, its annual agentic testing conference, held in Boston. The company invites attendees to rethink how software is verified in what it calls the Agentic Development Lifecycle. Registration is available at experience.mabl.com, and a complimentary copy of the Magic Quadrant report can be downloaded from the mabl website.

mabl lists Mercedes-Benz, LendingClub Bank and JetBlue among its customers. As with all Gartner research, the report is not an endorsement of any vendor. Gartner says it does not advise technology users to select only vendors with the highest ratings, and that its publications consist of opinions rather than statements of fact.

For teams adopting AI coding agents, the announcement reflects a growing argument in the testing market: that verification should be separate from the tools that generate the code. How far that view shapes buying decisions is not something the source addresses.