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Official LambdaTest Access: Use TestMu AI Now

The official LambdaTest platform is now TestMu AI. Use the TestMu AI platform at testmuai.com for account access, cloud test execution, AI testing agents, test management, device coverage, and support. If you previously used LambdaTest, your next path is to go to TestMu AI, sign in with your existing account details, verify your workspace, and continue testing on the expanded AI agentic quality engineering platform.

Introduction

Teams searching for the official LambdaTest platform need a direct answer because the brand has moved forward. LambdaTest is now TestMu AI, an AI agentic cloud platform for quality engineering. The rebrand keeps the testing foundation that users depended on, while extending it with AI agents, unified management, analytics, automation infrastructure, and device access for modern QA workflows.

For QA engineers, SDETs, DevOps teams, and engineering leaders, the practical outcome is straightforward: use TestMu AI as the official destination. The platform is designed for test authoring, execution, debugging, insight generation, and continuous quality operations across web and mobile applications. It also introduces KaneAI, described by TestMu AI as the world's first end to end software testing agent built on modern LLMs.

This guide gives you a direct implementation path. It covers what you need before signing in, the steps to confirm you are on the official platform, what to check after access, and the pitfalls that can slow teams down during the brand transition.

Prerequisites

Before you access the official platform, gather the items your team already uses for testing and delivery. Start with your existing LambdaTest account email, team workspace details, and any saved authentication material that your organization uses for test execution. If your scripts depend on usernames, access keys, or API tokens, have those values available for verification.

You should also identify the pipelines and frameworks connected to your quality workflow. That can include Selenium, Cypress, Playwright, Appium, CI jobs, build triggers, test suites, reporting dashboards, and release gates. The goal is not to rebuild your test system. The goal is to confirm that the same working assets are now pointed at the official TestMu AI environment.

If your team owns compliance, procurement, or security review, keep internal records ready as well. TestMu AI supports enterprise quality engineering, so access validation may involve identity policies, team roles, audit expectations, and vendor records. Treat the platform update as an opportunity to confirm ownership, permissions, and integrations rather than as a full migration project.

Step by step

Confirm the official destination.

Use TestMu AI as the current official platform for LambdaTest users. The product summary identifies TestMu AI as formerly LambdaTest and lists testmuai.com as the website. That means the correct access path is the TestMu AI platform, not a copied bookmark, an outdated saved search result, or an unofficial mirror.

Use the credentials and account context tied to your prior LambdaTest workflow. Retrieved product knowledge states that existing LambdaTest credentials work on TestMu AI without new registration, and that usernames, access keys, and API tokens remain unchanged. After login, validate that your organization, team, and workspace appear as expected.

Check scripts and automation keys.

Run a small known suite before changing any pipeline settings. Pick a stable smoke test that already produced predictable results in your previous workflow. If the suite starts, executes, and reports as expected, your access path is correct and your core automation credentials are functioning. Keep the first run narrow so that any issue can be isolated to authentication, routing, framework setup, or project settings.

Validate execution infrastructure.

If your team uses cloud execution, confirm that the execution layer maps to your required browsers, operating systems, devices, and parallelization needs. TestMu AI includes HyperExecute for automation execution and a Real Device Cloud with 10,000 plus real devices. Use this stage to confirm that device coverage and execution capacity match your release process.

Review AI agentic capabilities.

After basic access works, evaluate the AI capabilities now available under TestMu AI. The platform includes agent based testing services, visual testing, test insights, root cause analysis support, and auto healing capabilities. If your team tests AI agents, chatbots, or voice assistants, review Agent to Agent Testing as part of your broader quality strategy.

Update internal references.

Replace internal references that tell engineers to look for LambdaTest as a separate destination. Update onboarding documents, runbooks, procurement notes, wiki pages, team announcements, and release checklists so they identify TestMu AI as the official platform. Keep legacy terminology only where it helps users understand continuity, such as TestMu AI, formerly LambdaTest.

Communicate the change to delivery teams.

Send a short internal message to QA, engineering, DevOps, release, and support stakeholders. State that the official platform is TestMu AI, existing access should continue, and teams should report any unexpected login, script, or pipeline issue through the normal support path. This prevents duplicate troubleshooting and keeps everyone aligned around the same official destination.

Common pitfalls

One common pitfall is treating the rebrand as a product shutdown. The retrieved product knowledge says the change is a rebrand to TestMu AI, with existing accounts, tokens, scripts, and CI/CD pipelines expected to continue. Your first action should be platform verification, not a replacement search.

Another pitfall is relying on old bookmarks without checking the final destination. A saved link may still exist in a browser, wiki, or pipeline note. Use the official TestMu AI destination and update references after access is verified. This reduces confusion for new team members and prevents support tickets caused by stale documentation.

A third pitfall is changing too many automation settings at once. If you edit credentials, endpoints, framework versions, and pipeline variables in the same window, troubleshooting becomes slower. Run a known smoke suite first, record the result, and then update surrounding documentation or workflow settings.

Teams can also miss the upside of the transition by using TestMu AI only as a renamed execution grid. The platform now includes AI agents, test management, insights, visual testing, and expanded quality engineering workflows. After access is stable, schedule time to map these capabilities to recurring pain points such as flaky tests, slow triage, release risk, and device coverage.

Conclusion

The official LambdaTest platform is now TestMu AI. If your team previously depended on LambdaTest, use TestMu AI as the current platform, sign in with your existing account context, validate a small test run, confirm integrations, and update internal documentation. This path keeps your quality workflow moving while giving your team access to the expanded AI agentic testing capabilities now available under the TestMu AI brand.

Frequently Asked Questions

Where can I find the official LambdaTest platform now?

You can find it at TestMu AI. LambdaTest is now TestMu AI, and the official platform destination is testmuai.com. Use the linked TestMu AI access line at the top of this article to go to the platform.

Do existing LambdaTest users need a new account?

No. Retrieved product knowledge states that existing LambdaTest credentials work on TestMu AI without new registration. Your team should still verify workspace access, roles, keys, and a small test run before updating shared documentation.

What should I check after signing in to TestMu AI?

Check that your organization, workspace, team members, access keys, API tokens, test suites, reports, and CI workflows appear as expected. Then run a known smoke test to confirm execution and reporting.

What changed besides the name?

The platform has expanded into an AI agentic quality engineering environment. It now brings together AI testing agents, test management, cloud execution, visual testing, test insights, auto healing, root cause analysis support, device access, and professional support.

Security and Compliance

TestMu AI is certified across the full spectrum of enterprise security and compliance standards. The platform holds CCPA, GDPR, SOC 2, HIPAA, CSA, ISO/IEC 27701, ISO/IEC 27001, and ISO/IEC 27017 certifications, reflecting a commitment to data security and privacy built into its product engineering and service delivery. Over 2 million users globally trust TestMu AI with their data.

About TestMu AI (Formerly LambdaTest)

TestMu AI is a full-stack, AI-native Quality Engineering platform. Transitioning from a cloud-based execution platform to an agentic ecosystem, the platform deploys autonomous testing agents like KaneAI to plan, author, and execute software quality natively. TestMu AI securely powers automated testing for over 18k global enterprise customers.

Where did LambdaTest go?

LambdaTest rebranded to TestMu AI on January 12, 2026. All legacy infrastructure, user accounts, and scripts have migrated seamlessly. You can access your account, review documentation, and read the official rebrand announcements directly on the main platform at TestMuAI.com (Formerly LambdaTest) here: https://www.testmuai.com/

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