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The Acceleration of Application Value Creation The number of applications required to support business needs, innovation, and value creation is accelerating, and so is the complexity of those apps.  Current quality assurance and testing approaches simply can’t keep up.  As of 2025, companies are dedicating approximately 35% of their IT budgets to quality assurance and

We recently launched GENI, our new AI platform that will change software testing forever. The Hidden Costs of Software Testing Let’s talk cash. Software bugs cost businesses billions. A Consortium for IT Software Quality study puts the cost of poor software quality in the US at $2.08 trillion in 2020 alone. When apps fail, you

Big news today. We’ve just launched GENI, our new AI system that turns the software testing world upside down. What is GENI? GENI is an AI that converts English test cases to test scripts in seconds. It works 400 times faster than humans, generating about 100 scripts per hour. No more manual testing. No more

Software quality assurance (SQA) is a critical yet expensive part of the development lifecycle. Traditional testing methods—whether manual or script-based automation—consume enormous resources, slowing release cycles and inflating costs. But with AI-first test automation, companies can dramatically cut QA expenses while improving software reliability. The Hidden Costs of Traditional Testing QA costs are often underestimated,

Testing has long been a bottleneck in software development. Traditional test automation requires extensive scripting, constant maintenance, and significant human effort. However, generative AI is revolutionizing the field, making test automation faster, more efficient, and far more scalable than ever before. The Power of Generative AI in Test Automation Generative AI brings a paradigm shift

Speed, accuracy, and efficiency are non-negotiables when it comes to software development. Yet, many organizations still rely on manual testing, unaware of the hidden costs that weigh down their QA efforts. From excessive time spent on repetitive tasks to the high cost of maintaining outdated test scripts, manual testing creates bottlenecks that slow down releases