Tricentis Named Leader in Gartner Magic Quadrant for AI-Augmented Software Testing Tools
ByAinvest
Thursday, Oct 9, 2025 12:55 pm ET1min read
IT--
Since the evaluation period, Tricentis has made significant advancements in its roadmap. Key innovations include the introduction of remote model context protocol (MCP) servers for its Tosca, qTest, NeoLoad, and SeaLights products, which enable AI agents to engage and drive action through natural language prompts [1]. Additionally, Tricentis Agentic Test Automation allows for the generation of complete test cases from natural language prompts, further enhancing automation capabilities.
The Tricentis Quality Engineering Platform offers a comprehensive suite of solutions, including unified test management, no-code model-based test automation, AI-powered low-code test creation, and performance testing [1]. These solutions are designed to streamline the software development lifecycle (SDLC) and improve the overall efficiency and effectiveness of software testing.
Tricentis' vision will be further amplified at its upcoming annual Quality Engineering conference, Tricentis Transform, where attendees will explore the impact of AI on quality engineering and learn how to maximize the potential of this technology to drive business efficiency and innovation.
Tricentis has been named a Leader in the 2025 Gartner Magic Quadrant for AI-Augmented Software Testing Tools. The company believes its recognition as a Leader underscores its depth and breadth of products and features designed to simplify and accelerate software testing. Since the evaluation period, Tricentis has released significant advancements in its roadmap, including remote model context protocol servers and Tricentis Agentic Test Automation. The Tricentis Quality Engineering Platform offers solutions for unified test management, no-code model-based test automation, AI-powered low-code test creation, and more.
Tricentis, a global leader in AI-augmented software quality, has been named a Leader in the 2025 Gartner Magic Quadrant for AI-Augmented Software Testing Tools [1]. This recognition highlights Tricentis' depth and breadth of products and features designed to simplify and accelerate software testing. The company believes this acknowledgment underscores its ability to deliver robust solutions for enterprises seeking to enhance their software quality processes.Since the evaluation period, Tricentis has made significant advancements in its roadmap. Key innovations include the introduction of remote model context protocol (MCP) servers for its Tosca, qTest, NeoLoad, and SeaLights products, which enable AI agents to engage and drive action through natural language prompts [1]. Additionally, Tricentis Agentic Test Automation allows for the generation of complete test cases from natural language prompts, further enhancing automation capabilities.
The Tricentis Quality Engineering Platform offers a comprehensive suite of solutions, including unified test management, no-code model-based test automation, AI-powered low-code test creation, and performance testing [1]. These solutions are designed to streamline the software development lifecycle (SDLC) and improve the overall efficiency and effectiveness of software testing.
Tricentis' vision will be further amplified at its upcoming annual Quality Engineering conference, Tricentis Transform, where attendees will explore the impact of AI on quality engineering and learn how to maximize the potential of this technology to drive business efficiency and innovation.

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