Momentic

Momentic is a developer tool. Momentic runs plain-English end-to-end tests for web, iOS and Android apps through an AI agent named Mo. It reports bugs with evidence, proposes reviewed test repairs, and plugs into CI and coding agents.

Momentic is an AI-driven testing platform built around Mo, an agent that acts as a QA engineer for web, iOS and Android apps. Teams describe the user flows they care about, and the platform runs them against the real application, records what happened, and reports bugs with evidence. The pitch is aimed at a specific bottleneck: coding agents have sped up how fast software gets written, but confirming that a change works has not kept pace. Tests are written as plain-English steps and assertions stored in YAML files, such as an instruction to add an item to the cart followed by a check that the item total matches the listed prices. Because the files live in the repository, they can be reviewed and versioned alongside application code. Reusable modules cover shared sequences like logging in. A command-line tool runs the suite locally or in a CI job, and its exit code can serve as a required check before a merge or deploy. Maintenance is the other half of the product. When a control changes during a run, Momentic locates it again, and a separate healing step proposes an edit to the test file for a human to review and apply. When a run fails, the platform shows the failing step with screenshots and traces, and AI triage classifies the cause as an application bug, flaky test or environment problem. A Knowledge base holds product terminology and business rules so AI-assisted steps can check outcomes with context, and coding agents can author and save tests through MCP. The tool suits engineering teams that ship frequently and want end-to-end coverage without hand-maintaining brittle scripts. Larger organizations can test private apps behind SSO, and the company states SOC 2 Type 2 certification. Among alternatives, it sits between code-first frameworks that demand selector upkeep and record-and-playback tools, leaning on natural language and agent workflows rather than manual scripting.