Launchable is an AI-driven platform that optimizes software testing by employing predictive test selection and intelligent failure diagnostics to enhance test execution efficiency. It reduces the time developers spend on test failures and manual root-cause analysis, enabling faster deployment cycles and improved software quality.
Funding
Funding not disclosed
Founders
Product
Problem
Software testing is a critical part of the DevOps process, but as test suites grow, they can become slow and inefficient, delaying releases and slowing down development velocity. Developers and QA teams are often overwhelmed by a large number of test failures, making root-cause analysis and issue tracking time-consuming and difficult. Flaky and unhealthy tests further contribute to the noise and reduce trust in the test suite.
Solution
Launchable provides an AI-powered platform designed to optimize software testing and improve the dev-test iterative loop. By correlating code changes to tests, Launchable uses machine learning to predictively select the most relevant tests to run, significantly reducing test execution time. The platform groups test failures into underlying issues and uses GenAI to summarize complex error logs, enabling faster root-cause analysis and issue comprehension. Launchable also provides insights into test health, such as flakiness and failure rates, helping teams prioritize and address the most problematic tests.
Target Audience
Launchable is designed for developers, QA engineers, DevOps leaders, and engineering leaders in software companies who are looking to improve the efficiency and effectiveness of their software testing processes.
Features
- Predictive Test Selection: Uses machine learning to identify and run the most relevant tests based on code changes.
- Intelligent Test Failure Diagnostics: Groups test failures by underlying issue and provides AI-generated summaries of error logs for faster root-cause analysis.
- Test Suite Insights: Provides dashboards and reports on test health, including flakiness, failure rates, and test session duration trends.
- Test Failure Notifications: Delivers personalized notifications via GitHub and Slack to alert developers and QA teams of test failures.
- Dynamic Parallel Testing: Optimizes test execution by dynamically distributing tests across parallel environments.
- Flaky Test Management: Identifies and prioritizes flaky tests based on their negative impact on the team.
- Integration with CI/CD Tools: Seamlessly integrates with popular CI/CD tools such as Jenkins, CircleCI, and GitHub Actions.
- Support for Multiple Test Frameworks: Compatible with various test frameworks, including Selenium, Cypress, Maven, and Cucumber.