1. Drizz: Intent-based testing via plain-English test writing, Vision AI-powered real-device execution for iOS & Android, Self-healing test automation that repairs broken steps automatically, Centralized app and multi-step flow management (deep links, push notifications, app restarts), Precision debugging tools with screenshots, videos, and screen state logs, CI/CD pipeline integrations for automated mobile testing workflows, Built-in accessibility testing for UI flows.
2. TestDriver: AI vision-based test generation without selectors, DOM access, or source-code setup, Automated pull-request testing in real desktop sandboxes with CI/CD support, Self-healing tests that adapt when UI elements move or change, AI-powered assertions that validate application outcomes, Video replays, action logs, network inspection, and CPU and memory monitoring, Regression test creation and software-quality tracking, Support for web apps, Chrome extensions, desktop apps, VS Code extensions, file uploads, PDFs, iFrames, OAuth flows, and embedded media.
3. ContextQA: AI-Powered Root Cause Analysis, Low-Code/No-Code Automation, Visual Regression Testing, Modular Test Design, Personalized Test Run Statistics, Comprehensive Integration.
4. Pie: Autonomous AI agents for human-like testing, 80% E2E test coverage in 30 minutes, No code, no scripts, no maintenance required, Natural language test case creation, Single readiness score for go/no-go decisions, Framework-agnostic compatibility with any tech stack, Seamless integration with existing toolchains (CI/CD, chat, ticketing).
5. Kypso: Pre-built AI champions for various engineering tasks, No-code platform for customization and adaptation, Seamless integration with existing workflows and tools, Ability to create custom AI-powered champions.
6. CueTest: Plain-language browser journey testing, Adaptive agent navigation that follows the current live interface, Real-browser execution with real application state, Evidence collection including traces, browser state, screenshots, and run reports, Regression detection for stale selectors and outdated coded test paths, Failure classification and context for faster triage, Cached replay runs for lower-cost regression testing, Visual testing on the Studio plan, CI support for high-volume test suites.