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QA Wolf

AI-driven end-to-end testing platform that turns plain-language flows into Playwright and Appium tests, runs them in parallel and keeps them working as the app changes.

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By QA Wolf

qawolf.com

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Overview

Describe a user journey in plain language or by voice and AI agents write Playwright (web) or Appium (mobile) test code that your team owns and can edit. Tests run in parallel in isolated cloud containers, on real iPhones and iPads, Android emulators or devices, and Windows and macOS desktops, with video, traces and logs saved for each run. When a test fails, an agent investigates it, repairs outdated tests and files reproducible bug reports in Linear or Jira. Teams can also add managed Coverage-as-a-Service, where QA engineers build and maintain the suite.
More product details

Product

Documentation
docs.qawolf.com
Release Notes Url
qawolf.com/changelog
Solution Kind
Platform

Who it is for

Organization Types
  • Business
Roles
  • Developer
  • Product manager
Use Cases
  • Test management

Features

Quality Assurance

Delivery method: Managed service

AI-assisted creation, parallel execution, failure investigation and maintenance of end-to-end tests

Bug reports filed to Linear or Jira after a verified failure

Supports Parallel Execution

Runs every test in parallel in its own isolated container by default

Run Rules define execution order and which steps can run together

Test Script Reviews

Delivery method: Managed service

With Jump Start, QA Wolves review and approve the test suite before handing it to the customer team

Workflow details

Environments
  • Name
    Web
    Description
    Chrome, Firefox and WebKit in isolated containers with configurable viewport
  • Name
    iOS
    Description
    Real iPhones and iPads
  • Name
    Android
    Description
    Emulators or real devices
  • Name
    Desktop
    Description
    Windows and macOS, native or Electron; Electron on Linux
  • Name
    Parallel execution
    Description
    100% parallel by default; unlimited concurrent browsers
Workflow boundary and exception handling
  • Each run gets up to 3 attempts to clear flakes
  • An agent diagnoses and reproduces each failure before a bug report is filed
  • In Coverage-as-a-Service, failures are reproduced by humans and only verified bugs are flagged

Pricing

Common pricing conditions

Applies to: Pay per run

Export included in the plan
Yes
Trial Available
Yes
Trial is free
Yes
Usage tracking & reset
Each run covers up to 5 minutes of run time; longer tests are billed in 5-minute blocks. A billing manager can set a monthly spending limit on pay-as-you-go; new runs pause when it is reached until the limit is raised or the month resets.

Pay per run

Pay as you go billing

Pay as you go billing

Plan details & limits

Business Model
  • Usage
Limits
  • Run time per billed run

    5minutes

    Conditions
    Longer tests are billed in 5-minute blocks; each run gets up to 3 free attempts
  • AI usage

    Unlimited

  • Users

    Unlimited

Technical details

AI

AI usage conditions
Usage unit
Unmetered
Usage conditions
  • Unlimited AI usage is included in per-run pricing; there are no AI credits or token bills.
Input Modalities
  • Text
  • Audio
Output Modalities
  • Code
  • Text
Use Cases
  • Test management

API

Programmatic access
Yes
Documentation
docs.qawolf.com/qawolf-mcp
Protocols
  • MCP

Deployment

Client Channels
  • Browser
  • API
Delivery Models
  • Cloud (SaaS)

Implementation

Delivery Mode
  • Self service
  • Vendor

Customization

Skill Level
  • No code
  • Developer required

Security

Assurances
  • Kind
    Attestation
    Scope
    QA Wolf platform; described as verified through independent audits
    Standard
    SOC 2 Type II
  • Kind
    Self declaration
    Scope
    HIPAA-ready infrastructure for teams building and testing applications that must meet HIPAA requirements
    Standard
    HIPAA

Support

Training Formats
  • Documentation

Integrations

Jira

Direction
Outbound
Objects
  • Bug reports filed from verified test failures, with video and trace

Linear

Direction
Outbound
Objects
  • Bug reports filed from verified test failures, with video and trace

Reviews

User experiences, moderated before publication. Review policy

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