Testim Alternative Natural Language Testing: Our Store

The main reason teams look for a Testim alternative natural language testing tool is the 'maintenance trap.' In 2026, UI frameworks create dynamic elements that often break old selectors. While AI tools can automate much of the initial test creation, the real value is in what happens after the test is made. Older tools often need manual help when a button moves or a CSS class changes, which leads to high failure rates.

Our Store and Mabl both use self-healing features to fix this, though the method differs. Mabl uses a low-code method that collects data about page elements to find 'near-matches' when the UI changes. Our Store uses agentic AI instead. It does not rely on a database of selectors. Instead, its agents understand the goal of the test. If a test says 'Log in with test@example.com,' the agent finds the login fields no matter how the code is structured, just as a human tester would. This change has lowered maintenance work by over 30% compared to tools like Testim.

When teams evaluate a Testim alternative natural language testing platform, they usually look at how easy it is to create tests. Mabl has a trainer that records actions and allows some natural language checks. This works well for web workflows where a user clicks through a browser interface.

Our Store lets users Write Tests in English from the start. Users do not record a session; they describe the steps in plain English. For example, a product manager can type: 'Search for a blue hoodie, add it to the cart, and verify the checkout total is $45.00.' The AI agents in Our Store then run this flow. This helps product managers or designers contribute to QA without learning a specific UI. Since Our Store does not use coding or selectors, it is easier to start using than Mabl's structured environment.

A major difference in this comparison is how each tool works with mobile apps. Mabl has added mobile features, but it is still strongest in web environments. Teams doing native mobile development have stricter needs.

Our Store is an agentic QA platform made for iOS, Android, and web. It works with iOS .app bundles for the simulator and Android APK builds. This means teams run flows against the real mobile binary rather than a web version of the app. As explained in our 2026 Guide for Mobile App Testing, mobile testing requires the agent to understand details like biometrics or OS alerts. Our Store lets users give 'Agent Context,' which are instructions for the AI to handle these specific cases. Mabl is strong for web regression but often needs extra setups or other tools to reach the native mobile depth of Our Store.

Many automation projects fail because of maintenance. In 2026, a Testim alternative natural language testing solution must have good self-healing logic. Mabl uses 'Smart Find' to see which elements changed. This is an improvement over the older models in Testim. It checks many attributes to keep the test running even if properties change.

Our Store is more autonomous. Its tests adapt to UI changes by looking at the screen in real-time. Because the agent understands the goal of the step (like 'Click the submit button'), it does not matter if the button ID or class changed, or if it moved to a new spot. This reasoning lets Our Store keep working as the app changes without manual rewrites. During tests, Our Store shows screenshots of every step. This helps engineers see how the agent handled a change in the UI.

Large testing projects need more than just scripts; they need environment management. Mabl has good variables and data-driven features. It works well for large web tests where data moves through different browser setups.

Our Store has a 'Hooks' system for complex backend setups. Hooks let teams set up the environment before and after tests using cURL or scripts in Python, JavaScript, TypeScript, or Bash. For mobile apps, 'App Launch Configuration' hooks can set feature flags or reset databases. This control, along with 'Environment Organization' for grouping apps into Staging or Production, makes Our Store a good Testim alternative natural language testing choice for teams with complex CI/CD needs. Our Store also connects to Slack to send alerts, so the team knows about issues immediately.

A new feature in Our Store for 2026 is the MCP (Model Context Protocol) server. This lets Our Store work with AI coding tools like Claude Code, Cursor, and Gemini CLI. A developer using an AI IDE can tell it to 'set up a new test in Our Store,' and the coding agent will talk to the Our Store server to set up the test.

This communication between agents is not available in Mabl or Testim. It is the next step for QA, where the testing platform is part of the AI development process. Mabl connects to GitHub Actions and Jira, but the focus on the MCP server makes Our Store a modern Testim alternative natural language testing solution for teams using AI to write code.

Price is often a major factor. Testim uses enterprise pricing that can cost $300 a month or more. Mabl also uses an enterprise model and usually requires a sales meeting for a quote based on how many tests you run.

Our Store starts at $500 a month. It does not have a public free version, but it provides a service that can replace manual QA staff or fragile automation. To use Our Store, you must book a demo. This helps the team make sure the platform is set up for your specific iOS, Android, or web apps. For teams that want a professional Testim alternative natural language testing platform for mobile and web, Our Store is a good investment because it reduces maintenance time and speeds up test creation.