San Francisco, CA, May 28, 2026 (GLOBE NEWSWIRE) — TestMu AI (previously LambdaTest), the world’s first full-stack Agentic AI Quality Engineering platform, today announced the results of its collaboration with PhyscalTecha large-scale fintech company serving more than 150 million users through distributed, microservices-powered platforms.
By implementing TestMu AI’s KaneAI and HyperExecute, FyscalTech achieved approximately 60% faster test execution, reduced regression cycles from 6 to 10 hours to less than an hour, and reclaimed more than 600 engineering hours each month for QA and validation workflows.
As the FyscalTech ecosystem grew in size and complexity, the testing infrastructure began to show its limits. Regression cycles became longer, release decisions were delayed, poor automation eroded confidence in the technique, and operational overhead for maintaining test stability rose steadily. During periods of high traffic and major releases, the lack of fast, reliable feedback directly impacted the engineering speed, release confidence, and capabilities that FyscalTech is known for delivering quickly.
To address these challenges, FyscalTech deployed HyperExecute for large-scale parallel execution and KaneAI for AI-native test creation and debugging workflows.
With HyperExecute, the team significantly compressed regression execution timelines by running hundreds of tests in parallel across distributed environments. Full regression cycles that previously took most of the business day are now completed in less than an hour, enabling same-day validation and faster release readiness.
At the same time, KaneAI transformed the team’s testing workflow by enabling natural language-based automation and contextual error analysis. Engineers could create and maintain tests faster, reduce maintenance overhead, and quickly understand execution errors without manually examining raw logs.
“Modern engineering teams cannot afford slow or unreliable validation workflows, especially in highly regulated and large-scale environments like fintech,” said Mudit Singh, co-founder and Head of Growth at TestMu AI. “With KaneAI and HyperExecute, FyscalTech was able to accelerate feedback loops, increase confidence in automation, and free engineering teams to focus on high-value quality initiatives rather than managing infrastructure complexity.”
Key results of the implementation include:
- Approximately 60% reduction in total test execution time
- Regression cycles reduced from 6 to 10 hours to less than an hour
- More than 600 engineering hours are reclaimed every month
- Approximately 30-35% increase in productive engineering throughput within QA workflows
- Faster debugging with AI-powered contextual error insights
- Improved release confidence and fewer escaped defects
- Greater traceability and audit readiness in test environments
FyscalTech also adopted a modular testing strategy during onboarding, enabling reusable workflows and reducing duplication within validation pipelines. Combined with TestMu AI’s Real Device Cloud and App Automation capabilities, the team gained broader device coverage and more reliable debugging insight for identifying app-specific versus platform-specific issues.
“Speed has always been our advantage at FyscalTech, and TestMu AI has helped us hone this even further. With KaneAI and HyperExecute, we’ve been able to reduce test execution time by 60%, compress regression cycles from 10 hours to just a few hours, and reclaim over 600 engineering hours every month. Those hours are now being invested where they create real impact, build new products, strengthen reliability, and accelerate the pace at which we deliver value. This partnership is not just an upgrade; it is a force multiplier for the way we move,” said Saurabh Chandolia, CTO of FyscalTech.
These results further highlight how AI-native quality engineering platforms are helping modern enterprises move beyond traditional automation limitations and build scalable, resilient, and faster software delivery pipelines.
About TestMu AI (formerly LambdaTest)
TestMu AI is the world’s first Agentic AI-native Quality Engineering platform, designed to enable organizations to automate and scale testing with intelligence at its core. By combining autonomous capabilities with seamless integration into modern development workflows, TestMu AI enables teams to deliver faster, more reliable, and more secure software in an AI-centric world.
For more information, visit TestMu AI
