The AI QA Agent for Modern QA Teams

An AI QA agent is an autonomous system that plans, authors, executes, and maintains software tests through natural language instead of code. KaneAI is a GenAI-native AI QA agent: you describe what to test, and the agent generates the test steps, runs them across browsers and real devices, heals them when the UI changes, and reports results, without anyone writing a script.

Traditional automation needs engineers to write and maintain framework code for every test. An AI QA agent removes that barrier. It interprets plain instructions, generates the underlying logic, and adapts tests automatically when the application changes, so your team spends time deciding what to test, not scripting and patching it.

KaneAI tests web apps, mobile web, native iOS and Android apps, and APIs. It handles UI flows, assertions, conditional logic, and cross-environment runs from a single agent, with no separate frameworks or harnesses per surface.

Yes. You describe a flow in plain English and the AI QA agent converts it into structured, executable test steps. Any step can be refined conversationally, and the test exports to Selenium, Playwright, Cypress, or Appium if your team wants the code.

When the UI shifts or a locator changes, KaneAI updates the affected steps and surfaces a diff for review. The agent also triages flaky failures, deciding whether a failure is environmental noise or a real regression, so your team stops being a manual triage queue.