InfoBeans Technologies has launched RAI (Reliability & Assurance Intelligence) - an AI-native QA automation agent designed to ensure trust, reliability, and assurance in AI-generated software output. As enterprises accelerate software delivery using AI agents and code generation tools, a critical gap has emerged: who checks the AI's work. RAI is built to answer exactly that question.

In an era where AI agents are writing, reviewing, and deploying code, the biggest risk isn't speed - it's trust. Teams are shipping faster but with less certainty about what's actually going out the door. RAI functions as an intelligent QA layer that plugs directly into CI/CD pipelines, ensuring that what AI builds is what the business actually needs. RAI is not a traditional testing tool retrofitted with AI. It is built natively as an AI agent - ready to work with modern agentic setups including Claude.ai and Claude Code.

The platform enables teams to create automation suites, configure UI, API, database, and performance tests, and integrate seamlessly with tools like Jira, Trello, and Allure reporting - all from a single, unified interface. At its core sits the Qi core engine - a CLI utility that wraps the pytest library to execute automated test suites with integrated plugins, giving engineering teams a powerful, extensible foundation. RAI is available as a Services-As-Software (SaS) model - combining the depth of a managed service with the scalability of a software platform. Enterprises get not just the tool, but the expertise to run it.

InfoBeans Technologies specializes in design-led AI and software solutions, helping enterprise clients solve their most complex business challenges.