Robusty

Robusty is an AI testing platform that turns plain-English scenarios into end-to-end tests run in a real cloud browser. It supports manual, scheduled and CI/CD triggers, sends failure alerts, and charges by monthly test runs.

Robusty is a cloud testing platform that replaces hand-written test scripts with scenarios described in ordinary language. An AI agent reads each scenario, opens a real browser, and carries out the steps the way a customer would, flagging flows that no longer work. The product targets teams that ship quickly and find manual QA too slow, while conventional automated suites tend to break whenever the interface changes. In practice, a tester or developer writes a scenario such as a sign-up or checkout path and watches it unfold in a live browser preview, step by step. Because the agent works from intent instead of fixed selectors, the tests are meant to adapt as the product evolves, which reduces the maintenance load that usually comes with end-to-end suites. Runs execute in the vendor's cloud, so there is no test infrastructure to host or scale, and results arrive within minutes. Tests can be started by hand, set on a schedule, or wired into a CI/CD pipeline so each release is checked for regressions. When a run fails, alerts go out through Slack, email or webhooks, which lets teams plug failures into the channels they already watch. The homepage claims a first test can be set up in about five minutes. Pricing is based on the number of test runs used each month rather than seats alone. A free trial includes 20 runs without a credit card, a Starter plan covers 300 runs for two users, and a Team plan covers 1,000 runs with unlimited users and metered overage. An Enterprise tier adds unlimited runs, private network testing, advanced support with SLAs, and support for browser extensions such as MetaMask, which matters for web3 products. Among alternatives, Robusty sits between code-first frameworks that demand engineering time and record-and-replay tools that still need upkeep. It suits startups, product teams and small QA groups that want regression coverage without writing or maintaining scripts. Teams needing deep custom scripting or on-premise execution should check how far the managed, natural-language approach stretches before committing.