Regression testing 8
Automated AI voice agent testing, call analytics, and governance platform.
Hamming AI is an automated AI voice agent testing, call analytics, and governance platform. It helps teams test their AI voice agents 100x faster than manual calls by creating Character.ai-style personas and scenarios and running hundreds of simultaneous phone calls to find bugs. It provides detailed analytics to improve voice agent performance and ensures trust and safety.
AI-powered end-to-end testing platform for visual and functional testing.
Applitools is an AI-powered end-to-end testing platform that combines Visual AI with GenAI and no-code approaches to maximize test coverage while automating maintenance and reducing false positives. It offers solutions for visual testing, functional testing, API testing, accessibility testing, and cross-browser/device testing. The platform helps teams create, validate, execute, and analyze tests efficiently, reducing costs and improving software quality.
AI-powered, no-code platform for automated UI testing of web and mobile apps.
Autonoma AI is an AI-powered platform designed for building and running end-to-end tests for web and mobile applications. It offers a no-code, self-healing solution that enables developers to understand legacy, spaghetti, or throwaway code. It generates a wiki with API Docs, feature descriptions, and implementation details, maintaining the original style, language, and dependencies.
All-in-one LLM evaluation platform for testing, benchmarking, and improving LLM application performance.
Confident AI is an all-in-one LLM evaluation platform built by the creators of DeepEval. It offers 14+ metrics to run LLM experiments, manage datasets, monitor performance, and integrate human feedback to automatically improve LLM applications. It works with DeepEval, an open-source framework, and supports any use case. Engineering teams use Confident AI to benchmark, safeguard, and improve LLM applications with best-in-class metrics and tracing. It provides an opinionated solution to curate datasets, align metrics, and automate LLM testing with tracing, helping teams save time, cut inference costs, and convince stakeholders of AI system improvements.
AI-powered end-to-end testing and code review for GitHub pull requests
TestDriver is an AI-powered code review and end-to-end testing platform for GitHub repositories. It automatically runs pull requests in real desktop sandboxes, interacts with web apps, desktop apps, Chrome extensions, VS Code extensions, and rich media, then detects bugs and creates regression tests. Tests use AI vision rather than selectors or DOM access, run in CI/CD, validate outcomes with AI assertions, self-heal when interfaces change, and provide video replays, logs, action histories, and performance data for debugging.
AI-powered quality engineering platform for test automation and improved development productivity.
Autify is an AI-powered Quality Engineering Platform designed to streamline software testing processes and boost development productivity. It enables users to easily create, execute, and manage tests. Autify offers AI-powered test automation built on Playwright, no-code mobile test automation, and GenAI-powered test case and test code generation.
Automated AI browser tests for GitHub PRs, ensuring code quality before merge.
DebuggAI provides automated browser tests for every pull request (PR) on GitHub. It runs these tests and posts the results as GitHub comments, allowing developers to know their code works before merging. The service offers a 2-minute setup with no configuration required, utilizing AI to make in-browser testing simple for hobbyists and powerful for enterprise QA. It fully manages browsers and the testing process, from cloning repositories and building applications to remote access and browser testing, all automated through a GitHub App installation.
AI-powered automation testing tool for efficient bug detection and quality assurance.
BugBot is an AI-based intelligent automation testing tool by BugRaptors designed to expedite the testing process. It automates finding and reporting issues, interacts with development environments, and provides various testing types, including regression and functional testing. BugBot leverages AI to complement intelligent automation testing, offering features like test form validation, screen recording, and visual testing.
