This month, our CEO, Juliano Haus, joined the Midsize Enterprise Summit Fall in the United States, in the state of Texas. This event is known for connecting tech providers with IT leaders from midmarket companies. It was a unique opportunity to showcase TestBooster.ai, exchange knowledge with executives from different industries, and explore how innovation in software quality is shaping the future of business.
Juliano presented how TestBooster.ai helps companies strengthen their software testing and development processes, not just as a tool but as a central hub for quality. At the event, he connected with decision-makers, discussed the challenges they face in scaling technology, and highlighted how AI-powered testing can turn quality into a growth driver.
What is the Midsize Enterprise Summit?
The Midsize Enterprise Summit (MES) Fall is one of the largest events focused on IT decision-making for midmarket organizations. Hosted in Texas, the event brings together CIOs, CTOs, and senior IT executives to evaluate solutions, meet vendors, and set strategies for the coming year.
Events like MES are particularly relevant because midmarket companies are investing heavily in IT modernization. According to Gartner, midmarket firms increased IT spending by nearly 10% year-over-year in 2024, with quality assurance and automation among the top areas of investment. The Summit provides a space where vendors can not only present their solutions but also understand the specific needs of this fast-growing segment.
TestBooster.ai: more than a platform, your Quality Hub
The trip wasn’t just about networking, it reinforced TestBooster’s role as your new quality hub. Our solution brings together traditional testing frameworks, AI-driven test generation, natural language automation, and real-time dashboards in one place. This approach solves a common problem, that is, fragmented testing environments that slow down deploy and make it harder to keep up with business demands.
Instead of treating QA as a bottleneck, TestBooster.ai helps teams take a goal-first approach to testing. That means aligning every test to business objectives, ensuring resources are focused on what actually drives value. Here, it doesn’t matter if the workflow changes, the important thing is to your application works. Recent studies from Capgemini (2024) show that companies adopting AI in QA achieve 20–30% faster release cycles, while reducing critical defects by up to 50%. These numbers confirm that quality is not a cost center, it’s a growth enabler.
