TestMu AI Helps FyscalTech Reduce Test Execution Time by 60% and Reclaim Over 600 Engineering Hours Monthly

San Francisco, CA, Could 28, 2026 (GLOBE NEWSWIRE) — TestMu AI (beforehand LambdaTest), the world’s first full-stack Agentic AI High quality Engineering platform, at present introduced the outcomes of its collaboration with FyscalTech, a large-scale fintech firm serving over 150 million customers throughout distributed microservices-driven platforms.

By adopting TestMu AI’s KaneAI and HyperExecute, FyscalTech achieved roughly 60% quicker check execution, diminished regression cycles from 6–10 hours to underneath one hour, and reclaimed greater than 600 engineering hours each month throughout QA and validation workflows.

As FyscalTech’s ecosystem grew in scale and complexity, its testing infrastructure started to point out its limits. Regression cycles stretched longer, launch selections slowed, flaky automation eroded engineering belief, and the operational overhead of sustaining check stability climbed steadily. Throughout high-traffic durations and main releases, the shortage of quick, dependable suggestions was immediately impacting engineering velocity, launch confidence, and the very functionality FyscalTech is thought for delivering at velocity.

To deal with these challenges, FyscalTech carried out HyperExecute for large-scale parallel execution and KaneAI for AI-native check creation and debugging workflows.

With HyperExecute, the workforce considerably compressed regression execution timelines by operating a whole bunch of checks in parallel throughout distributed environments. Full regression cycles that beforehand took many of the workday at the moment are full in underneath one hour, enabling same-day validation and quicker launch readiness.

Concurrently, KaneAI remodeled the workforce’s testing workflow by enabling natural-language-based automation and contextual failure evaluation. Engineers have been capable of create and keep checks quicker, scale back upkeep overhead, and rapidly perceive execution failures with out manually investigating uncooked logs.

“Fashionable engineering groups can’t afford sluggish or unreliable validation workflows, particularly in extremely regulated and high-scale environments like fintech,” stated Mudit Singh, Co-Founder and Head of Development at TestMu AI. “With KaneAI and HyperExecute, FyscalTech was capable of speed up suggestions loops, enhance confidence in automation, and free engineering groups to deal with higher-value high quality initiatives as a substitute of managing infrastructure complexity.”

Key outcomes from the implementation embody:

• Roughly 60% discount in total check execution time
• Regression cycles diminished from 6–10 hours to underneath one hour
• Greater than 600 engineering hours reclaimed month-to-month
• Round 30–35% improve in productive engineering throughput inside QA workflows
• Quicker debugging by means of AI-assisted contextual failure insights
• Improved launch confidence and diminished escaped defects
• Higher traceability and audit readiness throughout testing environments

FyscalTech additionally adopted a modular testing technique throughout onboarding, permitting reusable workflows and lowering duplication throughout validation pipelines. Mixed with TestMu AI’s Actual Gadget Cloud and App Automation capabilities, the workforce gained broader gadget protection and extra dependable debugging visibility for figuring out app-specific versus platform-specific points.

“Pace has at all times been our edge at FyscalTech, and TestMu AI has helped us sharpen it additional. With KaneAI and HyperExecute, we’ve achieved a 60% discount in check execution time, compressed regression cycles from 10 hours to a mere couple of hours, and reclaimed 600+ engineering hours each month. These hours at the moment are being invested the place they create actual influence, constructing new merchandise, strengthening reliability, and accelerating the tempo at which we ship worth. This collaboration isn’t simply an improve; it’s a drive multiplier for the way we transfer”, stated Saurabh Chandolia, CTO, FyscalTech. 

These outcomes additional spotlight how AI-native high quality engineering platforms are serving to fashionable enterprises transfer past conventional automation limitations and construct scalable, resilient, and quicker software program supply pipelines.

About TestMu AI (Beforehand LambdaTest)
TestMu AI is the world’s first Agentic AI-native High quality Engineering platform, designed to allow organizations to automate and scale testing with intelligence at its core. By combining autonomous capabilities with seamless integration throughout fashionable growth workflows, TestMu AI empowers groups to ship quicker, extra dependable, and safe software program in an AI-first world.

For extra info, go to TestMu AI