Case Study

A leading UK-based standards organization partnered with Qualitest to overcome fragmented QA operations, limited SME bandwidth, and a lack of metrics. By establishing a centralized QA Centre of Excellence, the client achieved standardized processes, enhanced efficiency through automation, and measurable improvements in quality and delivery speed.

Qualitest partnered with a leading US bank to build a self-served and on demand test data management solution. The partnership helped the Client achieve 92% faster test data creation and 70% better test data coverage.

Our healthcare Client was facing innovation and automation challenges. In just 12 weeks, Qualitest helped them achieve 30% automation coverage, 75% more performance testing, and cut analysis effort by 90% using AI and ML powered solutions.

Qualitest enabled a leading chip manufacturer to streamline SoC verification by expanding test coverage, uncovering critical bugs, and optimizing the verification environment.

Our Client, a leading American financial institution, needed to categorize 5000 images within a five-week timeline. Qualitest exceeded the first-time acceptance rate during the first phase while completing the entire engagement a week ahead of schedule.

Qualitest assisted Israel’s largest electrical power supplier by testing the data transfer between smart meters and their associated subsystems.

A British multinational tobacco company partnered with Qualitest to optimize its SAP S/4 HANA implementation. The partnership resulted in seamless cloud integration, 50% cost savings, enhanced scalability, and adherence to system standards, driving long-term digital transformation success.

A global CPG leader leveraged AI-driven predictive analytics to enhance product offerings, reduce inventory waste, increase revenue, and improve customer satisfaction, all within an efficient eight-week rollout.

A leading insurer harnessed AI-driven predictive analytics to reduce the number of churned clients. This was accomplished by first generating a list of returning clients. After which, sales and marketing efforts targeted these clients. The predictive model was ready for deployment in less than two weeks.

A leading mobile carrier benefited from AI-driven predictive analytics to determine which QA tests will have a high rate of defects along with reasons. Employees were directed to fix such faults before they occur. It took just under a month to build a predictive model that was ready for deployment.

Qualitest’s AI solution helped an IC manufacturer predict failures, optimize root cause analysis, and improve product quality, boosting yield and efficiency with automated, no-code modeling.

A nationwide electricity provider faced a challenge to ensure high service SLA for electric power distribution while increasing technical teams’ productivity. The company’s transformers are located in various locations. Keeping the transformers in optimal health was a costly task as technical teams were responding to infrastructure failures as they occurred.