OwlityAI is an autonomous AI-driven quality assurance solution that automatically designs tests, develops automation, and identifies bugs, significantly reducing QA costs by up to 93% and accelerating testing processes by 95%. This technology eliminates the need for extensive manual testing and maintenance, allowing teams to focus on development without requiring dedicated QA expertise.
Funding
Funding not disclosed
Founders
Product
Problem
Traditional software quality assurance (QA) processes are often labor-intensive, time-consuming, and costly, requiring dedicated QA teams and extensive manual testing. Maintaining test automation scripts and adapting to frequent application changes further adds to the complexity and expense. This can slow down development cycles and increase the risk of releasing software with undetected bugs.
Solution
OwlityAI offers an autonomous, AI-driven QA solution that automates test design, development, and bug identification, significantly reducing QA costs and accelerating testing cycles. The platform analyzes applications to automatically discover functionalities, create test cases, and generate test reports without requiring access to the underlying code. OwlityAI eliminates the need for manual test maintenance by automatically fixing test code for newly found features and adapting to application changes. By emulating human-like, holistic testing, OwlityAI functions as a dedicated QA team, providing comprehensive testing without the need for specialized QA expertise.
Target Audience
OwlityAI targets software development teams, QA engineers, and DevOps professionals seeking to automate and streamline their testing processes, reduce QA costs, and accelerate software release cycles.
Features
- Autonomous test design and development using AI algorithms
- Automatic discovery of application functionalities and creation of test cases
- Generation of comprehensive test reports with detailed bug identification
- No-code setup and execution, eliminating the need for code access
- Automatic test code fixing for newly found features, reducing maintenance efforts
- Integration with CI/CD pipelines for continuous testing
- Parallel test execution across multiple cloud environments for scalability
- Real-time reporting and integration with project management tools like Jira