In today's fast paced digital market, a company's ability to design software that offers customer satisfaction and delight in a timely and dependable manner is essential to its success. Nevertheless, a lot of businesses view quality assurance more as a standard element without realizing it can offer competitive edge.

As software development accelerates, traditional Quality Engineering (QE) methods are evolving—driven by the transformative power of Artificial Intelligence (AI). AI-led QE redefines how organizations ensure software quality by shifting the focus from reactive testing to proactive, predictive, and continuous quality assurance. At the heart of this evolution is Quality by Design (QbD)—a principle

Artificial Intelligence (AI) is transforming various industries, primarily revolving around technology and product development. The pace at which AI technology is evolving, has led to a momentous change in various areas including Quality Engineering (QE). Integrating AI into QE processes helps organizations achieve higher efficiency, accuracy, and speed in their quality assurance (QA) activities.

In the rapidly evolving automotive industry, ensuring the safety, reliability, and performance of vehicles is paramount. Technology has long been integral to vehicle development, but today, software has become a core element, covering infotainment, safety, service, and more. As automotive systems grow increasingly complex, the need for efficient and accurate testing has become critical. Test

Challenges with traditional automation:

Software testing is a crucial part of the app development life cycle. There is no way an application can be rolled out to the end-users without thoroughly testing all of its features and functionalities. As important as QA testing is, it is also undeniable that it is extremely repetitive and time-consuming. Manual testing procedures require teams to develop multiple test cases to test every

In the tech-driven world, customers’ expectations are changing dramatically. To keep ahead of the competition, organizations must be agile enough to respond ceaselessly across all the channels to these ever-increasing expectations, that are often driven by an individual’s experience in using technology in everyday life.

Innominds supported over 9 releases of a global digital workforce management product. Our testing team performed comprehensive Quality Engineering (QE) with testing process automation for successful releases.

Game testing is a specialized skill that requires diverse tests to be performed in order to meet complex architectural needs and recent emergent compliance rules in game development. The number of elements interacting with each other inside a game is large, so identifying and testing them takes up a large chunk of the time and effort of test engineers.

Adapting to changing consumer requirements is a primary goal for any organization to sell better and progress in managing their business from the sales point of view. When a business fails to recognize the customer’s choice and preferences, catering to the relevant market becomes more and more of a stressful scenario.