Sold by: KYOBODTS
Deployed on AWS
AbleQA is an AWS-based AI test automation solution that combines LLM and Vision AI technologies to streamline software testing across web, mobile, and enterprise applications. It integrates AI-powered test case generation, Vision AI-based test execution, Self-Healing, automated result analysis, and reporting into a unified workflow. AbleQA aims to reduce manual testing efforts, minimize script maintenance, and improve software quality and testing efficiency.
Overview
AbleQA is an AWS-based AI test automation solution built on Kyobo DTS's enterprise AI Agent platform, Able. By combining Large Language Model (LLM) and Vision AI technologies, AbleQA provides an integrated software testing workflow covering AI-powered test case generation, automated test execution, Self-Healing, result analysis, reporting, and test management. The solution is designed to analyze requirements documents, functional specifications, and UI design materials, including PDF and PPTX files, to automatically generate structured test scenarios and test cases. AI-generated test cases can be reviewed, modified, and exported for further use. Through Vision AI-based test execution, AbleQA aims to recognize buttons, text, images, and other UI elements within web and mobile applications, enabling automated user interactions and functional validation while reducing dependence on fixed coordinates or DOM-based scripts.
AbleQA incorporates AI-powered Self-Healing, intelligent test result analysis, and AI Agent-based workflow automation to address common challenges in conventional software testing. Its planned Self-Healing capabilities use Vision AI and LLM technologies to identify UI changes, adapt test execution paths, and reduce script maintenance efforts. During test execution, the solution is designed to collect test results, execution logs, error screenshots, and defect information. AI Agents analyze test failures, summarize potential causes, and generate reports covering test execution status, defect trends, and software quality metrics. Integrated dashboards provide visibility into project-level testing progress and quality indicators. Leveraging Able's AI Agent orchestration and workflow automation capabilities, AbleQA is designed to support scheduled test execution, batch processing, and integration with CI/CD pipelines and external development tools, enabling continuous software quality validation throughout the development and deployment lifecycle.
Designed as a scalable AWS-based AI Test Automation SaaS platform, AbleQA plans to leverage Amazon EC2, GPU instances, Amazon RDS, and Amazon S3 to support AI model execution, test data management, execution history, and report storage. The architecture is intended to provide customer data isolation, access control, and scalable testing environments for enterprise customers. AbleQA targets organizations developing and operating mobile applications, web services, and enterprise systems, particularly in financial services, retail, IT services, and other industries with frequent software updates and repetitive testing requirements. By automating test design, execution, failure analysis, and reporting, AbleQA aims to reduce manual testing efforts, minimize maintenance costs, accelerate testing cycles, and improve software quality and operational efficiency. Future customer Proofs of Concept (PoCs) will validate test case generation accuracy, Vision AI-based execution performance, Self-Healing effectiveness, and measurable improvements in testing productivity, supporting the continued development of an enterprise-grade AI-powered software testing automation platform.
Highlights
- AI-Powered Test Case Generation : Automatically generates structured test scenarios and test cases from requirements and design documents using LLM technologies.
- Vision AI-Based Test Automation & Self-Healing : Automates web and mobile application testing with intelligent UI recognition and adaptive test execution to reduce script maintenance.
- End-to-End AI Test Management : Integrates automated test execution, AI-powered result analysis, reporting, and workflow automation to improve software quality and testing efficiency.
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Dimension | Description | Cost/12 months |
|---|---|---|
AbleQA Enterprise License | Enterprise license for AbleQA, an AWS-based AI-powered software test automation solution. Includes LLM-based test case generation, Vision AI-driven test execution, AI Self-Healing, automated result analysis, reporting, and test workflow management. User capacity, test execution volume, AI usage limits, and service scope are defined by the applicable contract. | $10,000.00 |
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