bet365 Partners with TestMu AI to Accelerate Global Release Velocity with Agentic AI Quality Engineering
31.3.2026 19:01:00 CEST | Business Wire | Press release
Streamlines Hillside Technology testing across browsers and mobile devices while supporting rapid expansion into regulated markets.
TestMu AI (Formerly LambdaTest), the world's first full-stack Agentic AI Quality Engineering platform, today announced that Hillside Technology Limited, the technology powerhouse behind global online gambling leader bet365, has adopted its platform to unify software testing and support hundreds of weekly production releases.
The global online gaming industry is currently experiencing a massive shift, with the market projected to exceed $150 billion by 2030. As mobile gaming becomes the primary touchpoint for users, the technical complexity of delivering a seamless, low-latency experience has grown exponentially. For industry giants like bet365, the need to validate software across an infinite matrix of hardware, screen resolutions, and OS versions is a mission-critical requirement. This partnership ensures that, as gaming becomes more mobile-centric, bet365 can lead with technical excellence by testing on real-world configurations that mirror its diverse global user base.
Founded in 2000, bet365 has grown into a global technology pioneer. Today, as an industry leader, bet365 has adopted TestMu AI for its ability to match the company’s high-velocity engineering culture, providing comprehensive device coverage and high-performance automation.
“By unifying our testing onto a single platform, we’ve eliminated the operational friction of tool-switching and achieved significantly higher stability in our automation. TestMu AI’s performance and availability are exceptional, and their team’s support has allowed the platform to scale beyond our initial expectations. It is now a versatile asset used even for our internal application management,” said Joanna Ward, Head of Software Testing at bet365.
By leveraging HyperExecute by TestMu AI, bet365 has resolved performance bottlenecks through just-in-time infrastructure provisioning. The platform enables bet365’s engineering teams to:
- Run Cross-Platform Tests: Execute browser, mobile web, and native application tests through a single unified interface.
- Access Massive Scale: Execute tests across 3,000+ browser and OS combinations and 10,000+ real iOS and Android devices.
- Validate Localized Experiences: Test region-specific payment flows, authentication models, and network conditions to meet compliance requirements across 150+ countries.
- Test on Dedicated Infrastructure: Run tests on secure, isolated real devices reserved exclusively for internal enterprise teams.
- Enable High-Concurrency Execution: Support large-scale parallel testing without shared-environment risks.
Jay Singh, Co-Founder and Chief Customer Officer, TestMu AI, said, “At the scale bet365 operates, even a millisecond of latency can impact millions of users. Our mission with TestMu AI is to replace fragmented, legacy testing cycles with a unified, Agentic AI quality engineering that scales with the enterprise. By providing bet365 with an integrated ecosystem for testing, we aren't just helping them find bugs; we are providing the digital resilience required to lead the global gaming market.”
The collaboration has empowered bet365 to validate user journeys on a global scale, ensuring that the experience remains consistent and reliable.
About TestMu AI
TestMu AI (Formerly LambdaTest) is a Full-Stack Agentic AI Quality Engineering platform that empowers teams to test intelligently and ship faster. Engineered for scale, it offers end-to-end AI agents to plan, author, execute, and analyze software quality. AI-native by design, the platform enables testing of web, mobile, and enterprise applications at any scale across real devices, real browsers, and custom real-world environments.
For more information, please visit - https://www.testmuai.com/.
View source version on businesswire.com: https://www.businesswire.com/news/home/20260331630451/en/
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