Our Blog
Our service is industry agnostic and thus far, we have clients in fintech, healthcare, edtech, real estate and urban planning industries. We provide managed quality automation for your apps that run in a browser.
AI Can Write Code. Who Tests It?
AI Can Review Your Code. But Does Your Product Actually Work? There’s this growing belief in engineering teams that AI can “solve QA.”Tools like Claude and GitHub Copilot can now: Read entire codebases Detect bugs and vulnerabilities Suggest fixes in seconds It’s a...
AI Can Review Your Code. But Does Your Product Actually Work?
AI Can Review Your Code. But Does Your Product Actually Work? There’s this growing belief in engineering teams that AI can “solve QA.”Tools like Claude and GitHub Copilot can now: Read entire codebases Detect bugs and vulnerabilities Suggest fixes in seconds It’s a...
In-House QA vs QA as a Service: How to Reduce Post-Release Bugs and Boost Customer Trust
Post-release bugs not only increase support costs but also reduce customer trust. Choosing the right QA model is essential for maintaining reliability and improving user satisfaction.In-house QA requires hiring QA engineers, onboarding them, purchasing tools,...
AI Powered QA for Web Applications: How AI Lowers QA Costs and Improves Release Quality
AI powered QA has become a core component of modern software testing. As web applications evolve and release cycles accelerate, companies are searching for smarter solutions to maintain stability and reduce defects. AI in QA allows development teams to test faster,...
QA as a Service in 2026: Pricing, Benefits, and How to Choose the Right Provider
Companies in 2026 are under pressure to deliver faster releases, reduce bugs, and ensure consistent performance across their web applications. With engineering teams stretched thin and release cycles becoming more rapid, many businesses are turning to QA as a Service...
Why Codeless Test Automation Is Becoming Essential for Fast Growing SaaS Companies
SaaS companies move fast. New features, UI updates, and customer requests often result in weekly or even daily deployments. To support rapid growth, quality assurance must adapt. In 2026, the most efficient approach is codeless AI test automation, which allows teams...
