TestMu AI HyperExecute, a solution published to Microsoft Marketplace, is an end-to-end smart test orchestration tool built on Microsoft Azure Functions and Azure App Services and integrated with Microsoft Teams, Azure Pipelines, GitHub, and other Azure services. Featuring auto-grouping, auto-retry, and fail-fast mechanisms, HyperExecute provides an integrated testing environment with 360 degrees of visibility into test execution to simplify debugging.
Microsoft Marketplace interviewed Abhijeet Teware, Head of QA at Bajaj Finserv Limited in India, to learn what he had to say about HyperExecute.
What do you like best about HyperExecute?
What stands out most is the depth of real device coverage combined with the speed at which we can run tests. With 5,000+ real devices available on the platform, including devices widely used across our key regions like Mumbai, we were finally able to catch device-specific crashes and ANR issues before they reached our users. That alone was a game changer for us, given that 90 percent of our user base is on mobile. On top of that, HyperExecute cut our test execution time dramatically, and SmartUI gave us confidence that our UI wasn’t regressing visually between releases.
We also appreciated how well the platform integrates with our CI/CD pipeline on Azure, which kept our weekly release cadence running smoothly without adding overhead to the QA team. It’s not just a testing tool; it’s become a core part of how we ship reliably.
How has the product helped your organization?
TestMu AI has fundamentally changed how our QA team operates. The most immediate impact was a 5-hour reduction in test execution time per cycle, which directly translated into faster, more frequent deployments. We went from ad-hoc releases to reliable weekly code pushes. We scaled our automation coverage by 40X between 2022 and 2024, moving the bulk of our regression suite away from manual execution. That shift alone reduced human error and freed our engineers to focus on new feature quality rather than repetitive regression checks.
The Private Real Device Cloud also eliminated our dependency on maintaining physical device labs in-house, which was a significant operational cost saving. For a platform where app stability directly affects user access to critical services, the improvement in reliability has had a significant impact on our customer experience.
How are customer service and support?
The support has been one of the best parts of working with TestMu AI. Any time we hit a technical issue, whether it was an integration problem with our Azure-based pipeline or a flaky test environment, the response was fast and genuinely helpful, not just a link to documentation. What I particularly appreciated was how the team stayed engaged beyond just resolving tickets. They proactively flagged new capabilities relevant to our use case, helped us tune our HyperExecute configuration, and were available when we were scaling up our Private Real Device Cloud capacity by 5X. For a QA team running on tight release schedules, that kind of partnership matters a lot.
Any recommendations to other users considering the product?
My biggest piece of advice: don’t start small and scale later. Start at scale. We initially rolled out incrementally and had to retroactively migrate more of our suite onto TestMu AI. If you’re on Azure, take advantage of the fact that the platform integrates cleanly into your existing pipeline, setup is straightforward, and the parallel execution gains are immediate.
Enable HyperExecute early; the speed difference is significant, and it changes how your team thinks about test frequency. Use SmartUI from the start too, visual regressions are easy to miss in code review but very obvious to end users. And if you’re a mobile-first product like us, get onto the Private Real Device Cloud as quickly as possible. The breadth of device coverage is genuinely hard to replicate in-house. Finally, lean on their support team; they’re knowledgeable and proactive, not just reactive.
What is your overall rating for the product?
TestMu AI gets a 5 out of 5 from us. Across every dimension that matters to our team — device coverage, execution speed, automation scalability, CI/CD integration, and support quality — the platform has delivered. We came in with a manual-heavy QA process and a mobile app that was difficult to test consistently at scale. We now run automated regression at 40X the volume we did in 2022, ship weekly with confidence, and have meaningfully reduced the number of issues reaching production. For a mission-critical platform where quality failures have serious implications for our users, that reliability is not just a KPI — it matters. We wouldn’t hesitate to recommend it.
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