The recognition from one of India’s most prestigious technology awards platforms supports a systems-first approach to enterprise AI, with a focus on control, reliability, and cost predictability.
surat, india, April 24, 2026 /PRNewswire/ — test grid has been selected as the winner in the ‘Best Use of AI’ category at the India Digital Enabler Awards (IDEA) 2026, organized by Entrepreneur India and held at Sheraton Grand, Bangalore.
The award is judged by a committee that includes representatives from NITI Aayog, Department of Science and Technology (Government of India), and IvyCap Ventures, and focuses on applied innovations across digital technology, enterprise systems, and artificial intelligence.
This result places TestGrid among IDEA winners such as Reliance Foundation, Swiggy, Zepto, Groww and Tata Teleservices who are known for translating technology into measurable enterprise impact.
TestGrid was chosen for its approach of embedding AI within software testing, not as a standalone feature, but as part of a structured system built on real device infrastructure, automation, and a controlled execution environment.
As enterprise adoption of AI accelerates, organizations increasingly face challenges with unpredictable usage-based costs and limited execution control.
At the heart of TestGrid’s approach is the Kotesterwhose AI testing agent is designed to work within the software development lifecycle.
CoTester learns from product requirements, generates test scenarios, and executes them across real device and browser environments while maintaining human oversight, traceability, and execution discipline.
Rather than replacing existing systems, CoTester operates as an integration layer within the TestGrid platform, where infrastructure, automation, and intelligence work together to deliver predictable results at scale.
“AI in testing is only useful if teams operate within a system they trust,” said Harry Rao, founder and CEO of TestGrid. “We are focused on building a foundation where intelligence is managed, execution is consistent, and costs are predictable. This validates the approach we have taken.”
This achievement comes at a time when enterprises are reevaluating their AI deployment models, especially as token-based and usage-based pricing creates large cost fluctuations. When intelligence is introduced without system-level controls, test environments are already fragmented across tools and workflows and become difficult to manage.
TestGrid addresses this problem by unifying test infrastructure, automation, and AI into a single platform. This allows teams to run tests on real devices, integrate with frameworks like Selenium, Appium, and Cypress, and apply AI-driven features without introducing operational unpredictability.
