TestMu AI Reviews & Ratings

TestMu AI

4.7 out of 5 stars

Ratings and Reviews 32 Ratings

Total 4.5 out of 5 stars
ease 4.5 out of 5 stars
features 4.5 out of 5 stars
design 4.5 out of 5 stars
support 5 out of 5 stars

Ratings and Reviews 0 Ratings

Total 0 out of 5 stars
ease 0 out of 5 stars
features 0 out of 5 stars
design 0 out of 5 stars
support 0 out of 5 stars

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What is TestMu AI?

TestMu AI (Formerly LambdaTest) is an Agentic AI Quality Engineering platform that assures AI deployments across the enterprise and the real world. It runs agentic testing for web and mobile apps on 3,000+ browsers and 50,000+ real devices, and for chat, voice, IVR, video, and image agents. For test creation, KaneAI turns natural language prompts, PRDs and tickets into end-to-end tests that it plans, authors, runs and keeps up to date as the app changes. Kane CLI brings the same agent to the terminal, so developers, coding agents and CI pipelines can confirm that a browser flow really works. For teams shipping AI products, Agent Testing builds 60 to 100+ scenarios from PRDs, docs or Jira and measures chatbots, voice assistants and phone agents on hallucination, bias, tone and compliance, then gives a Green, Yellow or Red go-live verdict. Agent Assurance checks agents that take actions, such as coding and workflow agents, by grading the files, artifacts and tool calls they actually produced, and reports Pass, Fail or Unable to Verify. On the infrastructure side, Selenium, Playwright, Cypress and Appium suites run in parallel on the Automation Cloud, HyperExecute runs them up to 70% faster, App Automation supports Appium, Espresso and XCUITest on physical iOS and Android hardware, and Browser Cloud provides browsers built for AI agents. Performance Testing adds protocol-level JMeter load tests. SmartUI compares screenshots to flag visual regressions, the Accessibility Testing Agent audits apps against WCAG, ADA and EAA with TalkBack and VoiceOver on real devices, Test Manager keeps manual and automated cases together, and Test Insights spots flaky tests and explains failures with AI root cause analysis. The TestMu AI MCP Server lets AI clients pull test data. TestMu AI plugs into 120+ tools, from CI/CD servers to issue trackers and team chat, and is used by 3M+ users at 18,000+ enterprises, including Microsoft, OpenAI and Nvidia.

What is Speedscale?

To ensure that your applications run efficiently and maintain superior quality, it's crucial to replicate real-world traffic scenarios during testing. By closely monitoring code performance, you can swiftly pinpoint problems and assure that your application functions optimally before it goes live. Crafting realistic testing environments, performing load tests, and designing intricate simulations of both external and internal backend systems will significantly improve your readiness for production. This approach eliminates the need to create costly new environments for every test, and the integrated autoscaling feature further minimizes cloud costs. You can avoid the hassle of cumbersome, custom frameworks and labor-intensive manual testing scripts, allowing you to release more code in a shorter timeframe. Rest assured that your updates can handle heavy traffic without issues, thus preventing major outages, meeting service level agreements, and ensuring user satisfaction. By effectively mimicking both external systems and internal infrastructures, you achieve testing that is both reliable and economical. There's no longer a requirement to invest in expensive, all-encompassing environments that demand extensive setup times. Transitioning away from outdated systems becomes effortless, guaranteeing a smooth experience for your customers. With these innovative strategies, your application can improve its resilience and performance under a variety of conditions, ultimately leading to a superior product. Additionally, this streamlining of processes allows for a more agile development cycle, empowering teams to innovate and adapt rapidly to changing market demands.

Media

Media

Integrations Supported

GitHub
GitLab
Jenkins
Backlog
GitHub Student Developer Pack
Google Chrome
Jira
KaneAI
LT Browser
Model Context Protocol (MCP)
Mr Suricate
Parasoft
PractiTest
Selenium WebDriver
Slack
Teamwork.com
zipBoard

Integrations Supported

GitHub
GitLab
Jenkins
Grafana Cloud
JSON
Sidecar

API Availability

API Availability

Has API

Pricing Information

$15.00/month
Free Version
Free Trial Offered?

Pricing Information

$0
Speedscale proxymock is a free desktop tool for traffic capture, data analysis, integration with AI coding assistants and api mocking
Free Version
Free Trial Offered?

Supported Platforms

SaaS
Windows
Mac
On-Prem
Chromebook

Supported Platforms

SaaS
Mac
Linux

Customer Service / Support

24 Hour Support
Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Online Training

Company Facts

Organization Name

TestMu AI (Formerly LambdaTest)

Date Founded

2017

Company Location

United States

Company Website

www.testmuai.com

Company Facts

Organization Name

Speedscale

Date Founded

2020

Company Location

United States

Company Website

speedscale.com

Categories and Features

AI Testing Tools

Not specified

Automated Testing

Move & Copy
Requirements-Based Testing
Supports Parallel Execution

Continuous Testing

Not specified

Cross-Browser Testing

Not specified

Functional Testing

Automated Testing
Interface Testing
Regression Testing
Reporting / Analytics
Sanity Testing
Smoke Testing

GUI Testing

Not specified

QA Testing

Not specified

Software Testing

Not specified

Test Management

Automation Integration
Pass/Fail Results Tabulation
Reporting / Analytics
Requirements Management
Test Scheduling
Test Tracking

UI Testing

Not specified

Visual Testing

Not specified

Categories and Features

API Testing

Functional Testing
Load Testing
Runtime and Error Detection
Security Testing
Validation Testing

Automated Testing

Not specified

Chaos Engineering

Not specified

Continuous Testing

Not specified

Performance Testing

API Testing
Benchmarking
Historical Reporting
Load Testing
Parallel Testing
Regression Testing

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