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TestGrid Achieves 2025 Global Recognition Award for CoTester AI Testing Platform

TestGrid wins the prestigious 2025 Global Recognition Award for CoTester, a groundbreaking AI testing platform that enhances software quality amidst rapid release cycles, earning recognition among only 5.8% of 15,000 entries.

ATLANTA, Dec. 30, 2025 (GLOBE NEWSWIRE) — TestGrid has received the 2025 Global Recognition Award for its enterprise AI testing platform, CoTester, which is designed to assist organizations in maintaining software quality at scale amidst rapid release cycles. This award is significant, as only 5.8% of the approximately 15,000 entries submitted annually earn recognition.

Entries for the Global Recognition Awards undergo review by an independent judging panel, which utilizes the Rasch measurement model for objective assessment across various criteria such as innovation, market impact, and technological advancement. TestGrid distinguished itself by transforming the enterprise approach to software testing through CoTester’s innovative agent-based architecture.

Unlike traditional testing methods that often rely on brittle, script-heavy automation, CoTester leverages adaptive intelligence throughout the testing lifecycle. This allows organizations to align test coverage with evolving applications without necessitating constant manual interventions after each release. CoTester functions as a modular, enterprise-grade testing system, utilizing coordinated agents to support test creation, execution, auto-healing, and maintenance processes.

The platform applies intelligent features at both the workflow and execution layers, adapting seamlessly to changes in user interfaces, configuration, and business logic. It selectively employs vision-based and contextual understanding capabilities, operating as integral components within a broader agentic system rather than as standalone features.

Traditional automation frameworks often deteriorate as software products evolve, leading to unstable regression suites and delayed deployments. CoTester aims to mitigate this challenge through runtime adaptation, governed automation, and human-in-the-loop controls that uphold intent and traceability. Consequently, Quality Assurance (QA) and engineering teams can focus more on assessing risks, expanding test coverage, and increasing release confidence, rather than spending time repairing tests.

The judging panel noted CoTester’s consistent performance across evaluation dimensions such as novelty, market potential, technological progress, and user feedback, highlighting its strength in intellectual property and its capacity to disrupt existing paradigms. CoTester received high marks in these areas, indicating both its technical robustness and readiness for enterprise deployment.

Judges also emphasized CoTester’s compatibility with both private cloud and on-premises deployment models, enabling organizations in regulated industries to maintain full control over data residency, automation assets, and governance policies. “CoTester earned this recognition because it turns a chronic weakness in enterprise software delivery into a clear strength, proving that AI, when properly governed, can deliver high reliability at scale,” remarked Alex Sterling, a spokesperson for the Global Recognition Awards.

CoTester 2.0 is currently available for enterprise deployment, with interested organizations encouraged to schedule a pilot or request a demo at testgrid.io/cotester.

About TestGrid

TestGrid is recognized as a leading provider of enterprise-grade testing infrastructure and automation solutions, serving top Fortune 100 companies. From infrastructure to software delivery intelligence, TestGrid enables organizations to accelerate high-quality software delivery through cost-effective, scalable testing solutions across web and mobile platforms.

Media Contact
Harry Rao
Founder & CEO, TestGrid
[email protected]

See also
Marcus Chen
Written By

At AIPressa, my work focuses on analyzing how artificial intelligence is redefining business strategies and traditional business models. I've covered everything from AI adoption in Fortune 500 companies to disruptive startups that are changing the rules of the game. My approach: understanding the real impact of AI on profitability, operational efficiency, and competitive advantage, beyond corporate hype. When I'm not writing about digital transformation, I'm probably analyzing financial reports or studying AI implementation cases that truly moved the needle in business.

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