Momentic is an AI-powered end-to-end testing platform that enables engineering teams to write, run, and maintain automated tests in natural language for web, iOS, and Android applications. Founded as a Y Combinator company and backed by a $15M Series A led by Standard Capital, Momentic replaces traditional test automation tools with an AI agent that translates plain English descriptions into reliable browser and emulator actions.
How It Works
- Users describe test steps in natural language. Momentic's AI agent reads the page context, selects elements, and executes actions. The resolved locators are cached for replay without additional LLM calls, and auto-heal re-resolves elements when the UI changes.
- Tests are stored as YAML in the repository and can run locally via CLI or in CI pipelines, with results uploaded to the cloud dashboard for triage and monitoring.
Key Capabilities
- Natural language test authoring: Describe test flows in plain English; Momentic handles element selection and action execution without requiring DOM selector expertise.
- Self-healing locators: Intent-based locators automatically update when the UI changes, reducing test maintenance. The step cache replays cached locators on subsequent runs and only invokes the AI agent when a locator fails.
- Autonomous testing agent: Momentic can explore applications, identify critical user flows, generate tests, and keep them current as the product evolves.
- AI-powered assertions: Validate screenshots, page content, and expected behavior in a single check, handling non-deterministic outputs for generative AI features.
- Cross-platform support: Tests can run on Chromium-based browsers for web applications, plus iOS simulators and Android emulators for native mobile apps.
- Agentic and step-based modes: Step-based execution provides deterministic, fast replay for critical paths, while AI action enables dynamic, goal-based scenarios for exploratory coverage.
Use Cases
- Regression testing: Catch bugs before code merges by running high-signal test suites on every commit and pull request.
- Production monitoring: Convert end-to-end tests into production canaries that alert teams with full context on user impact.
- Generative AI testing: Validate LLM-driven features with intent-based checks that accommodate non-deterministic responses.
Integrations
- Momentic integrates with CI platforms including GitHub Actions, CircleCI, and Bitrise. It supports GitHub and Slack integrations for failure alerts and provides a CLI for local development and CI execution.
Pricing
- Momentic offers a free tier and an Enterprise plan with dedicated support, SAML/SCIM SSO, role-based access, audit logs, SOC 2 Type 2 compliance, and a 99.99% uptime SLA.
Privacy and Security
- Momentic holds SOC 2 Type 2 certification, encrypts data in transit and at rest, and provides immutable audit logs, role-based access controls, and SAML/SCIM single sign-on for Enterprise customers.
