Boston Startup QASolve AI Automates Software Testing, Helping Companies Build Faster and Smarter

Boston, MA - August 1, 2025 - QASolve AI, a Boston‐based tech startup, today officially launched its intelligent quality assurance platform, enabling development teams to save thousands of dollars and hundreds of hours on software testing. The company's automated, AI‐powered tools eliminate the most time‐consuming parts of QA, allowing developers and product teams to catch bugs faster, release more confidently, and bypass the bottlenecks of manual testing.
Monty Kothiwale, Founder & CEO, is a veteran tech leader with over 30 years of experience in enterprise software and quality engineering. He's led multiple startups to successful exits, including RAGE Frameworks and has held senior roles at Moody's Analytics, Genpact, and Morningstar. Under his guidance, the platform supported more than 600 teams during its closed beta, from early‐stage startups to international SaaS companies, and is now available to users across the U.S. and worldwide.
Traditional QA testing can consume 30 to 50 percent of a development team's timeline, and hiring a QA engineer often takes 28 to 42 days at an average salary of $85,000 to $120,000 per year. With QASolve AI, teams report reducing testing time by 50 to 80 percent while catching issues earlier. Rather than relying on manual cycles and fragile scripts, QASolve leverages AI‐powered bug detection, self‐healing tests, seamless CI/CD integration with tools like GitHub and Jenkins, and a no‐code interface that supports web applications. "QASolve gives companies the ability to test in hours what used to take days, so they can release faster, respond to customer needs quicker, and stay ahead of the competition," said Monty Kothiwale. "After building and exiting multiple startups, I've seen how critical speed and reliability are to software success," he added. "With QASolve, we're using AI to eliminate the old QA bottlenecks and give teams the freedom to move faster without sacrificing quality."
"It used to take us days to write tests and run them manually," said Casey M., Senior Engineer at a HealthTech startup. "With QASolve, it's almost instant. We found 27 bugs in a staging build within days of onboarding." Damon L., VP of Engineering at an e‐commerce platform, added, "We reduced our testing overhead by 70 percent within the first month. It's like adding another QA engineer to your team instantly."
Companies are moving faster than ever: a 2023 McKinsey report found that businesses leveraging AI‐based testing tools ship 20 to 30 percent more quickly than those relying on manual or outdated systems. QASolve AI is launching with startup‐friendly pricing, free trials, and custom plans for teams of all sizes, as well as enterprise packages offering advanced security, multi‐environment support, and white‐glove onboarding. The team believes that as software grows more complex, QA must get smarter, not slower, and QASolve is designed to scale alongside each organization's needs without adding headcount. QASolve AI is now accepting sign‐ups at https://qasolve.ai/get-started/.
About QASolve AI - Founded in 2020 and headquartered in Boston, Massachusetts, QASolve AI is on a mission to eliminate QA as a bottleneck by empowering teams to build better software, faster. Its AI‐powered, no‐code testing engine helps companies reduce testing time, avoid costly bugs, and scale quality across web, mobile, and desktop applications.

Press Inquiries & Demo Access:
info@qasolve.ai
https://qasolve.ai
991 Providence Hwy #1113 Norwood, MA 02062

QASolve AI
991 Providence Hwy #1113 Norwood, MA 02062
info@qasolve.ai

QASolve AI is a Boston-based tech startup transforming software quality assurance with AI-powered, no-code testing tools. Founded by veteran tech leader Monty Kothiwale, the platform helps development teams cut testing time by up to 80%, catch bugs earlier, and release faster, without the bottlenecks of manual QA. Serving startups to global enterprises, QASolve integrates seamlessly with CI/CD pipelines and scales to support web, mobile, and desktop applications.

This release was published on openPR.