TestMu AI
AI writes tests, and tests AI agents
Tool details
TestMu AI is the agentic AI quality engineering platform that LambdaTest was renamed to on 1 January 2026. It puts two things on one testing cloud: agents that plan, author, run and self-correct tests from plain language, and a harness that checks what a shipping AI agent actually changed.
Core capabilities
- KaneAI test agent: Describe a scenario in plain language, and the agent turns a Jira ticket, PRD, PDF or screenshot into structured cases, then writes back maintainable scripts after the run
- Agent Assurance: Rook CLI derives an evaluation suite from your code or docs, verifies the real side effects an AI agent has on tools, files and APIs, and reports separately what it could not verify
- Cross-layer runs: UI, API, database and network are validated in the same run, so coverage is not stitched together across four or five tools
- Browser and device matrix: 3,000+ browsers and 50,000+ real devices across 132 countries
- Terminal and MCP access: Kane CLI lets coding agents verify changes before committing, and an MCP Server plugs testing into AI toolchains
Who it is for Three kinds of teams: QA groups that want to hand off authoring and maintenance of regression suites; frontend and full-stack developers who want pre-commit verification in the terminal; and teams shipping AI agents that must prove the agent did not call tools or write files it should not have. It is heavy for small manual projects.
What sets it apart Most testing clouds sell speed alone, and the AI in BrowserStack and Sauce Labs mostly sits in the assist layer. TestMu AI moves the object under test to AI itself: KaneAI writes the tests while Agent Assurance tests the AI agent, both on one execution cloud.
Editorial take Gartner's 2026 Magic Quadrant for agentic software quality assurance platforms names it a Leader, and 18,000+ enterprise customers plus 1.5B+ tests is a solid base. Pricing is metered by parallel session and by agent, with modules sold separately, so budget by concurrency before buying; KaneAI has no free tier, only a sign-up evaluation. A fit for teams whose CI is already in shape and who now need a quality gate for AI features.
Pricing
FreemiumFreeUnlimited projects and test runs in Test Manager; HyperExecute 300 minutes per month with 2 parallel sessions; Automation Cloud 100 lifetime minutes
Annual billing equivalent $17; 2,000 credits, about 25 test creations of 40 steps; includes Kane CLI and 1 Test Manager seat
Annual billing equivalent $179; 25,000 credits, about 313 test creations; includes Web and Mobile cloud authoring plus 300 HyperExecute minutes per month
Annual price, $59 with monthly billing; billed per seat
Annual price, $99 monthly; billed per parallel session, virtual devices $139, real devices $199
Annual price, $49 monthly; 4,000 credits per month, about 66 scenario runs, unlimited users
Annual price, $199 monthly; unlimited test minutes; the Linux plan starts at $103
Custom concurrency and credits, private Slack channel, IP whitelisting, custom data retention
Additional notes
Billed along three axes: parallel sessions, agents and seats, with each module subscribed separately, so real spend depends on concurrency. Annual billing saves about 10% for KaneAI and 17% for Test Manager. KaneAI has no free tier but a sign-up allows free evaluation. SmartUI and Accessibility add lifetime free quotas (2,000 screenshots and 25 scans), and Performance Testing is free up to 100 concurrent users. Enterprise pricing is quote-only and not published.
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