ASolve AI, a startup, has launched an AI-powered software testing platform designed to save development teams time, cut costs, and improve software quality. By automating the repetitive and time-consuming parts of quality assurance, QASolve AI helps companies catch bugs earlier, shorten release cycles, and scale testing without hiring additional staff. Hiring a new QA engineer can take up to six weeks, with salaries ranging from $85,000 to $120,000 annually. QASolve AI tackles this challenge with a platform that reduces testing time by 50 to 80 percent. Using AI-powered bug detection, self-healing tests, and a no-code interface, the platform helps teams maintain quality while releasing products faster. QASolve AI also integrates seamlessly with widely used CI/CD tools like GitHub and Jenkins, making it easy to automate QA without disrupting established workflows. An engineering leader at an e-commerce company added, “We cut our testing workload by 70 percent in the first month of using QASolve. It feels like we added another QA engineer to the team without the hiring process or the extra cost.” The no-code platform supports web and desktop applications, allowing companies of any size to test across multiple environments without additional setup. For startups, QASolve AI provides affordable entry-level pricing and free trials to get started quickly. For larger enterprises, the company offers advanced security options, multi-environment support, and dedicated onboarding. By focusing on AI-driven automation, QASolve AI positions itself at the intersection of two high-growth markets: artificial intelligence and software development tools.