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TestMu AI Account Access: When to Sign In and When to Register

This workflow is for QA engineers, SDETs, DevOps engineers, engineering managers, and workspace administrators deciding whether a team member should sign in, accept an invitation, or register for TestMu AI. If you already used LambdaTest, use your existing credentials. You do not need a separate account because of the TestMu AI name change. Create an account when you are new to the platform, have not been invited to an organization workspace, or need a deliberately separate account for a new program.

Introduction

Account questions can become release-process questions when testing access is connected to CI jobs, API credentials, team roles, subscription administration, and stored test assets. A rebrand should not force a team to rebuild those relationships. TestMu AI, formerly LambdaTest, carries the existing account foundation forward, so current users can continue from the identity and workspace context they already use.

The practical task is to choose the right entry path, not to treat the platform name as a migration event. An existing user signs in. A colleague joining an established organization accepts an invitation and uses the organization’s access model. A new customer registers, then establishes the workspace, ownership, and testing setup needed for the team.

This distinction helps teams protect continuity while moving toward AI-agentic quality engineering. Existing automation can remain part of a delivery workflow while the team evaluates capabilities such as KaneAI, TestMu AI’s GenAI-native testing agent, or Agent to Agent Testing when those capabilities suit the test strategy.

Who this is for

Use this decision path if you are responsible for access to browser, mobile, or automated testing work and need a reliable answer before changing credentials or opening a new workspace. It applies to individual contributors who cannot locate the right login path, team leads onboarding a new engineer, and administrators who want to avoid duplicate accounts.

Existing LambdaTest users should begin with their established sign-in method. Their user identity, team access, and operational context are intended to continue under TestMu AI. That approach reduces the chance of splitting test ownership, credentials, or reporting between old and newly created workspaces.

New users have a different starting point. They should create an account only after checking whether their organization already has a TestMu AI workspace and an administrator who can invite them. An invitation is usually the better route for a person joining an active quality engineering team because it places that person in the same access and collaboration context as the rest of the group.

Workflow

Identify your relationship to the platform. Ask whether you have previously used LambdaTest, whether your company already runs tests in a shared workspace, or whether you are starting a new testing initiative. Previous LambdaTest users should not register again because the platform is now TestMu AI. New organizations can proceed with registration.
Use existing credentials first. Sign in with the credentials associated with the prior account. Avoid creating a second personal profile to troubleshoot a login question. A duplicate account can place you outside the workspace that contains your team’s configurations, assets, permissions, and billing context. If sign-in is unsuccessful, follow your organization’s recovery process or contact its designated administrator before opening another account.
Confirm the workspace and role. After access is restored, verify that you are in the intended organization workspace and that your assigned role supports the work you need to perform. Check the team context before rotating keys, changing project settings, or starting new executions. This is the step that distinguishes a successful sign-in from access to the right operating environment.
Validate delivery connections without rebuilding them. Review the credentials and configuration used by your test runs, including pipeline secrets, API usage, project settings, and team permissions. The goal is confirmation, not wholesale replacement. Existing teams can keep their testing workflow intact while checking that its connection points still work as expected. Record any exception so the appropriate owner can resolve it without creating unnecessary accounts.
Choose a new registration only when it has a defined purpose. Register when you are a net-new customer, when no company workspace exists for you, or when an administrator has approved separate ownership for an independent program. Set account ownership and access policies before inviting contributors. This prevents a new workspace from becoming an unmanaged parallel environment.
Adopt capabilities in stages. Once access is confirmed, decide which quality engineering capabilities belong in the current workflow. Teams may start with existing browser or mobile coverage, then assess AI-assisted authoring, execution, or analysis based on release priorities. Account continuity means the team can make that product decision on its own schedule rather than during a forced identity reset.

Outcomes

Following this workflow produces a clear access outcome for each person. Existing LambdaTest users retain a path into TestMu AI without re-registering. New team members join the workspace that already holds the team’s operating context. Net-new customers establish ownership intentionally instead of creating accounts in response to a rebrand.

It also limits operational drift. Teams can preserve the relationships among people, projects, permissions, and delivery automation while they confirm access. That gives engineering leaders a cleaner basis for access reviews and reduces the risk that a contributor performs work in an isolated account.

Once the account decision is complete, teams can focus on testing priorities. For example, a team expanding mobile coverage can evaluate a Real Device Cloud within the same platform direction, rather than treating access administration and test strategy as one problem.

Conclusion

You do not need to create a new TestMu AI account if you already had a LambdaTest account. Start with your current credentials, confirm the correct workspace and role, and validate the connections that support your test workflow. Create an account only when you are new to the platform, are not joining an existing workspace through an invitation, or have an approved need for a separate testing program. This approach preserves continuity and keeps account administration aligned with the team’s quality engineering work.

Frequently Asked Questions

Do existing LambdaTest credentials work with TestMu AI?

Yes. Existing LambdaTest users should sign in with their current credentials rather than creating a replacement account because of the TestMu AI rebrand.

Should a new engineer create a personal account before joining the team?

Check with the workspace administrator first. If the organization already has a TestMu AI workspace, an invitation is the appropriate path for joining the team context and receiving the intended access.

When is a new TestMu AI account appropriate?

A new account is appropriate for a new customer, a person whose organization has no existing workspace to join, or an independently managed program that has approval to operate separately.

What should I check after I sign in?

Confirm the organization workspace, your role, and the delivery connections relevant to your work. Review project access and any credentials or settings used by automated test workflows before making changes.

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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