Mabl, a unified automated testing platform, has recently launched its mobile app testing feature. With the use of machine learning, generative AI, and computer vision technology, developers can comprehensively test mobile applications without the need for extensive coding. Dan Belcher, co-founder of Mabl, stated in an interview with VentureBeat, "Unified means that enterprises can manage their testing strategies on a single platform, which includes APIs, browsers, devices, and web/mobile applications. This is crucial because enterprise applications often span multiple interfaces. Users can benefit from this low-code solution, which is applicable to all types of testing, reducing the barrier to entry and allowing anyone to participate in automated testing." Mabl claims that its service can eliminate manual selector tasks through machine intelligence, accelerate test creation, proactively identify coverage gaps, and reduce performance degradation. It can efficiently create tests for iOS and Android applications in just a few minutes, catering to various technical skills. According to Belcher, Mabl's new product will address several challenges faced by mobile applications. These challenges include complex, fragmented, and costly scripted test automation tools, heavy reliance on manual testing, complex deployment processes, and a lack of available skilled talent. Artificial intelligence will expedite this process, eliminating the need for human intervention and reducing costs. Additionally, the low-code nature of the solution makes quality assurance accessible to both technical and non-technical users. He stated, "Despite the need for larger-scale testing on various devices and operating systems, most mobile app development teams still rely on manual testing as their quality assurance strategy. Manual testing is often slow, difficult to scale, and unable to comprehensively capture quality aspects such as APIs, performance, and accessibility." Native mobile app testing has been added to Mabl's existing product lineup. In 2018, the company released an AI-based automation solution for browser applications, expanded its capabilities in 2022 to include API and accessibility testing, and added performance testing in 2023. Mabl offers "transparent pricing" customized to the specific needs of each organization. The standard mobile app package includes end-to-end user interface and API testing, a minimum monthly credit limit of 500, unlimited local and cloud infrastructure (CI) runs, data-driven testing, comprehensive diagnostic data, integration with CI tools, Jira, Slack, and Microsoft Teams, as well as regular customer support. Since its establishment in 2017, the company has raised $77 million from venture capital firms such as GV, Vista Equity Partners' Endeavor Fund, Amplify Partners, Presidio Ventures, and CRV. Although specific details were not disclosed, Mabl reported a 66% growth in monthly active users in the past 12 months, a three-fold increase in monthly test runs, and an almost eight-fold increase in API test requests. "Organizations that do not prioritize mobile quality in this scenario will fail to attract and retain user bases," Belcher stated. "At Mabl, we have witnessed firsthand the competitive advantage of organizations that adopt AI-based automated testing solutions, as they democratize mobile app testing and accelerate time to market."