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mabl Review

mabl is an AI-native, agentic test automation platform designed to generate, execute, and maintain web, mobile, and API tests with self-healing capabilities.

shipped Jul 9, 2026codepaid
Domain rating69Monthly visits3.9K/mo
codeimage-generationproductivity
mabl — product screenshot

Why it matters

1SOC 2 Type II certified for data security.
2Offers a free tier for initial test automation.
3Provides an API for integration into existing workflows.
4Supports end-to-end testing across web, mobile, and API platforms.

About mabl

Business Model
Subscription SaaS
Usage Pricing
Contact for pricing per test
Headquarters
Boston, USA
Founded
2017
Team Size
51-100
Funding
Series B
Total Raised
$33 million
Platforms
Web, iOS, Android, API
Target Audience
Software development teams and QA engineers

Pricing Plans

Standard
Contact for pricing / monthly
  • • Automated web application testing
  • • API testing
  • • Test reporting and analytics
Enterprise
Contact for pricing / monthly
  • • All Standard features
  • • Enhanced reporting
  • • Dedicated support
  • • Customizable options

Cost Examples

  • • First 100 tests are free

Leadership

Dan BelcherCo-FounderLinkedIn
Jessica McKellarCo-FounderLinkedIn

Investors

Costanoa Ventures, GGV Capital, Scale Venture Partners

API Docs

Specs

API Available

Yes, public API

overview

What is mabl?

mabl is an AI-native test automation platform developed by mabl, Inc. that enables software development teams and QA engineers to generate, execute, and maintain web, mobile, and API tests. It features self-healing capabilities and builds test suites from plain English requirements, user stories, or Jira tickets, aiming to act like a skilled human tester with autonomous root cause analysis. The platform is cloud-native, learns from each test execution, and proactively detects issues, supporting continuous delivery and integration with agile workflows and Salesforce.

features

Key Features of mabl

mabl provides a comprehensive suite of features designed to streamline test automation and enhance software quality. Its AI-native architecture underpins several core capabilities, including autonomous test generation and maintenance, and detailed failure analysis.

  • AI-native, agentic test automation for web, mobile, and API.
  • Self-healing capabilities that automatically update tests when UI changes occur.
  • Test suite generation from plain English requirements, user stories, or Jira tickets.
  • Autonomous root cause analysis for identified issues.
  • All-in-one, low-code solution for functional UI and API testing.
  • Cloud-native platform that learns from each test execution to proactively detect issues.
  • Real-time analysis of test results with detailed reporting.
  • Integration with CI/CD tools such as GitHub, GitLab, Jenkins, and Azure DevOps.
  • Cross-browser testing capabilities.
  • No-code interface for intuitive test creation via a browser extension (Mabl Trainer).

use cases

Who Should Use mabl?

mabl is designed for engineering-led teams and quality assurance professionals seeking to accelerate software releases and ensure application quality through automated testing. Its low-code approach and AI capabilities make it suitable for a broad range of users within the software development lifecycle.

  • QAs and Automation Engineers: For creating, executing, and maintaining automated end-to-end tests across web, mobile, and API with reduced maintenance overhead.
  • Developers: For integrating test automation directly into CI/CD pipelines and receiving rapid feedback on code changes.
  • Product Owners and Business Stakeholders: For generating tests from user stories and Jira tickets, ensuring alignment with business requirements and monitoring software quality.
  • Quality Engineering Teams: For democratizing testing, fostering collaboration, and gaining quality insights through smart analytics and visual testing.
  • Manual Testers: For transitioning to automated testing with a low-code platform that simplifies test creation and maintenance.

how to use

How to Use mabl

Getting started with mabl typically involves creating a workspace, installing the mabl Trainer browser extension, and then recording user flows to generate initial tests. The platform then manages test execution and provides detailed results.

  • 1Sign up for a mabl account and create a new workspace.
  • 2Install the mabl Trainer browser extension for Chrome or Edge.
  • 3Use the mabl Trainer to record user interactions on your web application, which generates test steps.
  • 4Configure test runs, including browser types, environments, and schedules.
  • 5Integrate mabl into your CI/CD pipeline (e.g., GitHub, Jira) to trigger automated tests on code commits or deployments.
  • 6Review test results in the mabl dashboard, utilizing AI-powered failure analysis and visual regression insights.

pricing

mabl Pricing & Plans

mabl operates on a paid subscription model with two primary tiers, Standard and Enterprise, both requiring direct contact for specific pricing. A free tier is available, allowing users to explore the platform's capabilities with an initial allocation of 100 free tests. Pricing scales with usage, specifically per test execution.

  • Free Tier: Includes the first 100 tests at no cost.
  • Standard: Contact mabl for pricing details (monthly subscription).
  • Enterprise: Contact mabl for pricing details (monthly subscription).

Pros

  • +AI-powered self-healing significantly reduces test maintenance overhead by automatically updating elements when UI changes occur.
  • +Low-code interface and Mabl Trainer allow both technical and non-technical users to create automated tests quickly, often within 10 minutes.
  • +Comprehensive reporting dashboard provides clear pass/fail status, step timelines, screenshots, and detailed logs for efficient issue communication.
  • +Seamless integration with CI/CD tools (e.g., GitHub, Jira, Azure DevOps) enables automated test execution within existing development workflows.
  • +Unified platform supports various testing types including functional, visual regression, API, accessibility, and performance monitoring.
  • +SOC 2 Type II certified, indicating adherence to stringent security and compliance standards.

Cons

  • −Pricing is consistently cited as a primary drawback, with costs scaling quickly based on test volume, potentially making it expensive for small teams or startups.
  • −While mobile testing capabilities have expanded, some users note it is an extension of a web-first platform, potentially indicating a less mature mobile testing experience compared to dedicated mobile testing tools.
  • −The platform's advanced features and AI capabilities may have a learning curve for new users unfamiliar with agentic testing concepts.
  • −Data retention for activity logs and test run data is limited to 13 months in active workspaces, which may not meet long-term auditing requirements for all organizations.

Policies

Pricing Page

View Pricing→

Similar Tools

mabl vs Competitors

mabl distinguishes itself in the test automation market through its AI-native, agentic approach, particularly its self-healing capabilities and autonomous root cause analysis. While several competitors offer low-code or AI-assisted testing, mabl's cloud-native architecture and deep integration of AI for maintenance and analysis provide a distinct advantage.

1
Katalon StudioOn Stork

Offers a comprehensive low-code/no-code platform for web, mobile, API, and desktop testing with built-in AI for self-healing and smart test generation.

While Katalon Studio offers a robust free version and similar low-code/AI capabilities, its cloud execution and advanced reporting features are more prominent in paid tiers, whereas mabl is cloud-native from the ground up with deep autonomous analysis.

2
TestsigmaOn Stork

An AI-powered, low-code test automation platform that allows writing tests in plain English for web, mobile, and API.

Testsigma closely matches mabl's plain English test creation and AI-driven approach; however, mabl's 'agentic' and autonomous root cause analysis might be more deeply integrated, while Testsigma focuses heavily on natural language processing for test creation.

3
Ghost Inspector↗

Provides codeless UI test automation and monitoring, allowing users to record browser actions and replay them across different browsers.

Ghost Inspector offers a simpler, no-code approach primarily for UI testing and monitoring, but it lacks the deep AI-driven self-healing and comprehensive API testing capabilities that are central to mabl's offering.

4
Robot Framework↗

An open-source, keyword-driven test automation framework that supports various testing types through its rich ecosystem of libraries.

Robot Framework provides immense flexibility and is free and open source, but it requires more technical setup and coding knowledge to build and maintain tests compared to mabl's AI-native, low-code platform. It does not have built-in AI for self-healing.

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