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    Home » TestMu AI Positioned as a Leader in the 2026 Gartner® Magic Quadrant™ for Agentic Software Quality Assurance Platforms
    PR Newswire

    TestMu AI Positioned as a Leader in the 2026 Gartner® Magic Quadrant™ for Agentic Software Quality Assurance Platforms

    October 9, 2026

    Evaluation Based on Completeness of Vision and Ability to Execute

    NOIDA, India, Oct. 9, 2026 /PRNewswire/ — TestMu AI, the Full-Stack Agentic AI Quality Engineering platform, announced it has been positioned as a Leader in the 2026 Gartner® Magic Quadrant™ for Agentic Software Quality Assurance Platforms. A complimentary copy of this research report is available [here].

    TestMu AI (Formerly LambdaTest)

    As software delivery shifts toward agentic workflows, TestMu AI continues to advance end-to-end quality engineering through agentic testing and scalable cloud execution infrastructure. The platform provides independent verification, nondeterministic agent evaluation, and governance capabilities that allow enterprise teams to transition smoothly into agentic software delivery while maintaining existing browser and device testing environments.

    The platform addresses core enterprise testing needs through KaneAI and Kane CLI for natural-language test authoring and agent-callable execution, Agent Testing for multi-agent evaluation, and HyperExecute for intelligent test orchestration. The platform also offers Test Manager, Real Device Cloud, SmartUI, and accessibility testing in a unified quality engineering ecosystem.

    TestMu AI believes its Leader positioning reflects its continued focus on advancing agentic quality engineering through AI-powered test authoring, agent testing, scalable test execution, development workflow integrations, and capabilities that support enterprise adoption of AI-driven software quality practices.

    Coupled with continuous customer feedback channels and advisory initiatives, TestMu AI remains dedicated to meeting the evolving support and platform requirements of modern digital enterprises.

    “The software testing landscape is undergoing a fundamental shift toward agentic automation and continuous governance,” said Asad Khan, CEO and Co-Founder of TestMu AI. “We believe our placement as a Leader in the 2026 Gartner® Magic Quadrant™ for Agentic Software Quality Assurance Platforms reflects our continued focus on empowering engineering & quality teams with reliable, agent-callable verification, robust governance, and deep coding-agent integrations.”

    Citations

    Gartner, Magic Quadrant for Agentic Software Quality Assurance Platforms, By Joachim Herschmann, Sushant Singhal, Ross Power, C.A. Swan, 12 October 2026.

    Gartner and Magic Quadrant are trademarks of Gartner, Inc. and/or its affiliates.

    Gartner does not endorse any company, vendor, product or service depicted in its publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner publications consist of the opinions of Gartner’s business and technology insights organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this publication, including any warranties of merchantability or fitness for a particular purpose.

    About TestMu AI

    TestMu AI is Full Stack Agentic AI Quality Engineering platform that empowers teams to test intelligently and ship faster. Engineered for scale, it offers end-to-end AI agents to plan, author, execute, and analyze software quality across web, mobile, and enterprise applications, on real devices, real browsers, and custom real-world environments. For more information, visit www.testmuai.com.

    Media Contact

    Nikhil Saxena
    Corporate Communication Manager, TestMu AI
    nikhils@testmuai.com
    +91 98709 81968

    Cision View original content to download multimedia:https://www.prnewswire.co.uk/news-releases/testmu-ai-positioned-as-a-leader-in-the-2026-gartner-magic-quadrant-for-agentic-software-quality-assurance-platforms-302903708.html

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