With companies across every industry jumping onto the digital bandwagon to stay ahead of their competitors, the software and application development market has witnessed an upward trajectory in recent times. However, given the increased emphasis on the application’s UI/UX by both customers and brands, software development companies are adopting a myriad of testing automation tools to ensure faster TTM for their customers, a prominent one being the use of AI.

As per Grand View Research, India’s AI-enabled testing market revenue which was $25.7 million in 2023, is expected to amount to $116.7 million by 2030, growing at a 24.1 percent CAGR during the forecast period.

Despite such hypercompetitive market conditions, one company that has carved out a niche for itself in the industry due to its deep techno -logical prowess is Qualitlabs. Based in Hyderabad, Qualitlabs was incepted in 2017 by Kishore Ravi, Founder & CEO, with a vision to leverage cutting-edge technologies to empower businesses with reliable digital solutions that exceed clients’ expectations.

Today, with over 80 percent of its clients continuing their association for more than three years, the company has strongly positioned itself as one of the most reliable and sought-after test automation solution providers in the market.

As a next-gen AI-based QA automation solutions company, Qualitlabs offers test automation services primarily across three verticals, namely Quality Assurance, Quality Engineering, and Digital Assurance. The company has developed a proprietary Generative AI LLM based test automation platform that automatically reads each manual test case, generates Selenium Automation code in Python, and executes it autonomously. It provides detailed and visually rich HTML reports and can be integrated with Test Case management tools, while also developing comprehensive reports on the entire testing process. This GenAI-based platform integrates with multiple APIs including ChatGPT, DeepSeek, Grok and others.

“Owing to its tech-driven capabilities, our AI-powered tool significantly reduces testing time and enhances overall efficiency. As a result, we can complete at least 50-60 percent of the test through the tool itself, while our team of manual automation testers handles the remaining part”, says Kishore.

Quality and customer-centricity are at the core of Qualitlabs’ services. The company holds strategic partnerships with leading QA platforms, including Katalon Studio, LambdaTest, BrowserStack, Perforce, Jira, Redline13, and many others, to better understand their AI capabilities and deliver top-notch quality to its customers. Additionally, the company uses an incremental learning approach and has implemented the shift-left approach to its testing automation. This approach feeds the AI with all available data, including code changes, UI updates customer requirements, and new bugs, daily. The data is documented for developers.

“Keeping in mind the importance of early detection of defects/bugs in the software development lifecycle, we feed the AI with all the defects or bugs detected so far along with other data such as recent code changes or UI changes so that the AI can analyze and flag the risky areas in the code and accordingly prioritize the test cases. We also assist our customers in integrating automation and AI tools within their test case management systems, ensuring test results are accessible to all stake holders in real time”, adds Kishore.

To date, Qualitlabs has successfully delivered over 100 projects to more than 70 global customers, including Sotero, MakeMyTrip, SpinSci, Aucto, Davidson Hospitality Group, Hyperproof, Charlie Health, and many others. Going forward, the company plans to further enhance the functionalities of its AI-powered automation tool, particularly in terms of advanced self-healing capabilities, which will automatically adapt to any UI or functional changes by integrating more AI workflows. Furthermore, it is also looking forward to partnering with more AI vendors to accelerate the testing speed of its automation tools and facilitate more efficient early-stage bug detection for its customers.