Boston, September 18, 2025
News Summary
Boston-based startup QASolve AI has unveiled its innovative AI-powered software testing platform aimed at enhancing quality assurance processes. The platform automates repetitive QA tasks, enabling development teams to identify bugs earlier and shorten release cycles. By integrating with popular CI/CD tools like GitHub and Jenkins, it claims to reduce testing time by 50 to 80 percent. Initial customer feedback reports significant improvements, including a 70% reduction in testing workload and acceleration of test cycles from days to hours. With flexible pricing options and a no-code interface, QASolve aims to cater to companies of all sizes.
Boston
QASolve AI, a Boston-based technology startup, has launched an AI-powered software testing platform designed to save development teams time, reduce costs, and enhance software quality. The platform automates repetitive and time-consuming aspects of quality assurance (QA), helps companies identify bugs earlier in the development process, shortens release cycles, and scales testing without the need for additional hiring.
Key details
The platform uses AI-powered bug detection and self-healing tests with a no-code interface, and it integrates with popular CI/CD tools such as GitHub and Jenkins to automate QA processes. QASolve AI claims to reduce testing time by 50 to 80 percent. Development teams using the platform report shortened test cycles and reduced workloads: one HealthTech team reduced test cycles from three to four days to just hours, while an engineering leader at an e-commerce company reported a 70% reduction in testing workload within the first month of use.
Context on QA burden and cost
Traditional QA can consume 30 to 50 percent of a development team’s timeline, often requiring weeks of manual effort. Hiring a new QA engineer can take up to six weeks, with salaries ranging from $85,000 to $120,000 annually. Those time and cost pressures help explain the demand for automated QA tools that can be integrated directly into development pipelines and continuous delivery workflows.
Impact and reported outcomes
Early customer feedback indicates meaningful operational improvements. A senior engineer at a HealthTech startup reported that their test cycles dropped from three to four days to just hours after adopting the platform. An engineering leader at an e-commerce company reported a 70% reduction in testing workload within the first month of using QASolve. Industry research referenced by the company shows a broader trend: according to a McKinsey report, businesses using AI-based testing tools can release software 20 to 30 percent faster than those relying on manual QA methods.
Product positioning and availability
The platform is flexible and scalable, supporting testing for web, mobile, and desktop applications without extensive setup. It is geared toward companies of all sizes, offering affordable entry-level pricing and free trials for startups. Larger enterprises can access advanced security options and dedicated onboarding. The startup is currently accepting sign-ups for its platform with various pricing options.
Founding and leadership
QASolve AI was founded in 2020 and is headquartered in Boston, Massachusetts. The founding team has extensive experience in enterprise software and quality engineering. Founder and CEO Monty Kothiwale has over 30 years of experience in the field and a history of leading startups to successful exits. Company leadership describes the platform as an attempt to remove QA bottlenecks and to help teams move faster while maintaining reliability.
Why it matters
As software systems grow more complex and release schedules accelerate, development teams face mounting pressure to deliver high-quality releases quickly. Automated testing platforms that promise to cut testing time, reduce manual work, and integrate with existing CI/CD systems are positioned to address a clear operational need across sectors. By offering no-code interfaces and integration with common developer tools, the platform aims to reduce the friction of adding automated QA into existing processes.
FAQ
What product did QASolve AI launch?
QASolve AI, a Boston-based technology startup, has launched an AI-powered software testing platform.
How much testing time does QASolve AI claim to save?
QASolve AI claims to reduce testing time by 50 to 80 percent.
How much of a development timeline can traditional QA consume?
Traditional QA can consume 30 to 50 percent of a development team’s timeline, often requiring weeks of manual effort.
What are hiring timelines and salary ranges for QA engineers?
Hiring a new QA engineer can take up to six weeks, with salaries ranging from $85,000 to $120,000 annually.
Which CI/CD tools does QASolve AI integrate with?
QASolve AI integrates with popular CI/CD tools such as GitHub and Jenkins, ensuring smooth automation of QA processes.
What platforms does QASolve AI support?
The platform is flexible and scalable, supporting testing for web, mobile, and desktop applications without extensive setup.
When and where was QASolve AI founded?
QASolve AI was founded in 2020 and is headquartered in Boston, Massachusetts.
What pricing and trial options are available?
The platform is geared toward companies of all sizes, offering affordable entry-level pricing and free trials for startups.
At-a-glance information
| Topic | Detail |
|---|---|
| Company | QASolve AI |
| Location | Boston, Massachusetts |
| Founded | 2020 |
| Core product | AI-powered software testing platform with AI-powered bug detection and self-healing tests and a no-code interface |
| Supported platforms | Web, mobile, and desktop applications |
| CI/CD integrations | GitHub, Jenkins |
| Claimed time savings | 50 to 80 percent reduction in testing time |
| Reported customer outcomes | Test cycles reduced from three to four days to just hours; 70% reduction in testing workload reported in one case |
| Pricing and trials | Affordable entry-level pricing and free trials for startups; enterprise options available |
| Hiring context | Hiring a new QA engineer can take up to six weeks; salaries ranging from $85,000 to $120,000 annually |
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Additional Resources
- AIthority: QASolve AI Launches AI Software Testing Platform
- Wikipedia: Software Testing
- OpenPR: Boston Startup QASolve AI Automates Software Testing
- Google Search: AI software testing
- AIthority: One Click SEO Launches One Click Geo
- Google Scholar: Automated Software Testing
- OpenPR: QASolve AI
- Encyclopedia Britannica: Software Quality Assurance
- Google Search: QA engineer salaries
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