In today’s competitive markets, delivering high-quality products that ensure a superior customer experience rapidly is quintessential. Traditional testing methods struggle to keep pace with continuous release cycles, complex architectures, and the growing demand for seamless user experiences across platforms. Hence companies are now leveraging AI-driven automation to bridge this gap. The Global AI in Software Testing Market size is expected to be worth around USD 10.6 Billion by 2033, from USD 1.9 Billion in 2023, growing at a CAGR of 18.70% during the forecast period from 2024 to 2033. (Source: market.us)
eInfochips has developed AI Studio, an advanced multi-agent, AI-driven testing platform designed to automate multiple stages of the software testing lifecycle. AI Studio minimizes manual intervention, accelerates project timelines, and enhances overall testing efficiency and accuracy by leveraging autonomous agents and cutting-edge AI techniques.
Utilize AI-powered document processing to analyze requirement documents, automatically identifying what needs to be tested.
Convert analyzed requirements into well-structured user stories with clearly defined acceptance criteria, ensuring alignment with development teams.
Automatically generate comprehensive test cases from user stories to guarantee thorough coverage and robust quality assurance.
Generate Playwright and Selenium automation scripts from recorded test workflows and captured elements.
Empower AI agents to discover APIs, construct requests, and validate responses, streamlining end-to-end API testing.
Leverage AI-driven multi-agents to intelligently generate and execute mobile test cases across Android and iOS platforms.
Capture manual testing workflows to record user interactions and convert them into automation-ready test scenarios.
Automatically verify and validate web functionality across multiple languages and locales to ensure global readiness.
Analyze test results with AI-driven insights and generate professional reports featuring detailed metrics and quality analytics.
Generate framework-ready test cases that are reusable, well-structured, and aligned with your automation standards.
Achieve up to 40% efficiency gains across all stages of the testing lifecycle, from story creation and manual test case design to automation script development, maintenance, review, and report analysis.
Deploy a local LLM (under 25 billion parameters); this ensures reduced operational costs and enhanced data security, while still delivering reliable performance for test automation and analysis.
Generate real-time, traceable insights through LLM-driven analysis, empowering engineers, and QA teams to enhance test completeness and identify coverage gaps proactively.
The accelerator shortens testing timelines, helping organizations deliver high-quality products faster, without compromising safety or performance.
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