Momentic
by Momentic Inc.
Agentic QA platform that writes, runs and self-heals end-to-end tests for web and mobile apps
Momentic is an AI testing platform that writes, runs and repairs end-to-end tests for web, iOS and Android apps from plain-English intent. It is built for engineering teams shipping AI-generated code faster than they can hand-maintain Playwright or Selenium suites, and removes the selector maintenance and flaky-test triage that eat QA time.
Momentic is a San Francisco-based, Y Combinator W24 company founded in late 2023 by Wei-Wei Wu (CEO) and Jeff An (CTO) that sells what it calls an agentic quality platform. Instead of CSS or XPath selectors, teams describe user flows in natural language; Momentic's agents use language models and computer vision to locate elements, execute steps and re-locate them when the UI changes, so tests self-heal after refactors. Tests are stored as an intent-based YAML format readable by humans and AI, run from a CLI on a laptop, in CI (GitHub Actions and CircleCI recipes are documented) or in a cloud sandbox, and a local MCP server gives coding agents a live browser or device to author and triage tests. Web tests run on Chromium only; mobile runs on iOS simulators and Android emulators, not physical devices. A June 2026 platform update added an Explore agent that expands coverage and a Failure Classification agent that opens pull requests to heal non-bug failures. On September 28, 2026 the company launched Mo, a scriptless QA agent: given an app URL, credentials and intent, it deploys a swarm of agents across thousands of permutations and returns video and repro steps per failure, optionally exporting a script. Momentic raised a $15M Series A led by Standard Capital in November 2025 (total $19.2M) and names Notion, Xero, Webflow, Retool and Bilt as customers.
An engineering or QA lead at a SaaS company whose E2E suite breaks on every UI change and whose release velocity has jumped with AI coding tools.
End-to-end coverage written in plain English that repairs itself after UI changes, cutting test-maintenance time.
At a Glance
- Category
- Developer Tools
- Pricing
- Freemium, Usage-based, Contact for pricing
- Target Market
- CTOs, VPs of Engineering, QA Leads, Enterprise Developers
- Deployment
- Cloud-first, API-based
- Founded
- 2023
- Headquarters
- San Francisco, United States
- Customers
- 2,600 users (TechCrunch, Nov 2025)
Key Features
- ✓Natural-language test authoring
Describe critical user flows in plain English and the AI turns them into executable browser or mobile steps, so non-specialists can contribute tests.
- ✓Self-healing locators
Elements are found by intent and vision rather than brittle selectors, so tests re-locate targets after UI refactors instead of failing.
- ✓Mo scriptless QA agent
Given a URL, credentials and intent, a swarm of agents explores thousands of permutations and returns video plus repro steps for every failure found.
- ✓Failure Classification agent
Categorises failing runs as real bugs or test issues and opens pull requests to heal the non-bugs, reducing manual triage.
- ✓CLI, CI recipes and MCP server
Run tests locally, in GitHub Actions or CircleCI, or give coding agents a live browser through a local MCP server for authoring and triage.
- ✓Web and mobile coverage
One platform covers Chromium web apps plus iOS simulator and Android emulator builds, including React Native, Expo and Flutter apps.
Capabilities
Use Cases
- •PR gating for AI-generated code
Run natural-language E2E suites on every pull request and preview deploy so code from AI assistants is verified before merge.
- •Maintenance-free regression suites
Replace a brittle selector-based Playwright suite with self-healing tests that survive redesigns, freeing engineers from constant test repair.
- •Pre-release exploratory testing
Point Mo at a staging URL with credentials and receive video-backed bug reports across thousands of permutations before a launch.
- •Tests from product requirements
Feed PRDs, Jira or Linear tickets and Confluence pages to Mo so it tests the behaviour specified, then export a script if a suite is wanted.
- •Mobile app smoke testing
Automate iOS and Android flows on simulators and emulators for React Native or Flutter apps without maintaining separate native test frameworks.
Ideal For
Best For
- ✓Product engineering teams whose Playwright/Selenium suites break on frequent UI refactors
- ✓Gating pull requests and preview deploys with natural-language E2E tests in CI
- ✓Teams using AI coding agents that need an automated verification layer for generated code
- ✓Exploratory regression testing of web apps before release via the Mo agent
- ✓React Native, Expo and Flutter teams testing on iOS simulators and Android emulators
Not Ideal For
- ✗Teams that need cross-browser coverage on Safari or Firefox — web tests run on Chromium only
- ✗Organisations with strict data-residency or air-gapped requirements, since execution defaults to Momentic's cloud and needs access to staging
- ✗Mobile teams that must test on physical devices — only simulators and emulators are supported
- ✗Buyers who want a fully managed, human-verified QA service rather than a self-serve platform
Integrations
Deployment
Market & Ratings
2,600 users (TechCrunch, Nov 2025)
Market Analysis
Pros
- ✓Plain-English tests lower the bar for who can write and maintain E2E coverage
- ✓Self-healing reportedly repaired 93% of broken selectors after a major UI refactor in one independent evaluation
- ✓Published free tier and pay-as-you-go pricing with SOC 2 Type 2 on all plans
- ✓Named production customers including Notion, Xero, Webflow and Retool
Cons
- ✗Web testing is Chromium-only — no Safari or Firefox coverage
- ✗Tests live in Momentic's format and infrastructure; independent reviewers flag vendor lock-in when leaving
- ✗Flake rate of roughly 1-3% per one comparison, mostly from AI misidentifying look-alike elements in tables and card grids
- ✗About 10-15% of natural-language tests need tweaking on first attempt, per the same review
- ✗Cloud execution adds CI latency and requires granting a third party access to staging environments
Pricing
Free
$0
- ✓2,000 credits/month (~200 test runs)
- ✓AI test authoring
- ✓30-day results retention
- ✓Google SSO
- ✓No credit card required
Pay-as-you-go
From $125/mo
- ✓10,000 credits/month (~1,000 test runs)
- ✓Overage at $0.01875/credit
- ✓5 Android + 5 iOS devices
- ✓5 phone numbers for SMS/OTP testing
- ✓Shared Slack channel
Enterprise
Contact for pricing
- ✓Test-based pricing
- ✓SAML SSO and SCIM
- ✓Audit log
- ✓Unlimited phone numbers and inboxes
- ✓Uptime SLA and dedicated account manager
Metered in credits (roughly 10 credits per test run): a free tier of 2,000 credits, then $125/month for 10,000 credits with overage at $0.01875 per credit. SAML SSO, SCIM, audit logs and SLAs are Enterprise-only at custom, test-volume-based pricing. Some third-party comparison sites quote different plan prices; the vendor's published pricing page is the source here.
Security & Compliance
Connect
Sources
This page was written from 8 sources, 5 on domains other than momentic.ai.
- 1.momentic.ai — pricingvendor
- 2.momentic.ai — aboutvendor
- 3.momentic.ai — docsvendor
- 4.siliconangle.com — momentic debuts mo ai agent to automate software testing wit
- 5.techcrunch.com — momentic raises 15m to automate software testing
- 6.finance.yahoo.com — momentic launches first agentic quality 131200263
- 7.kanopylabs.com — ai testing tools meticulous vs momentic vs qa wolf
- 8.bug0.com — momentic alternatives
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