Formerly LambdaTest, TestMu AI pairs the KaneAI test-authoring agent with cloud browsers, 10,000+ real devices, and evaluators for chatbots and voice agents. QA and engineering teams use it to plan, run, and analyze tests in one platform.
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TestMu AI (formerly LambdaTest) is a cloud software-testing platform that combines AI agents for planning and writing tests with hosted browsers, emulators, and physical phones for running them. The company describes it as a unified quality engineering platform that helps engineering teams automate end-to-end testing across web, mobile, and AI applications.
The name change took effect on January 12, 2026, and the company says the team, infrastructure, and customer accounts stayed the same. Traffic to lambdatest.com now resolves to testmuai.com, with deep links redirecting to their equivalent pages on the new domain. The business started as LambdaTest in 2017 and reports being trusted by more than 18,000 enterprises worldwide. Independent tech press reported in December 2024 that the company, then still called LambdaTest, raised $38 million in a Series D round that brought its total funding to $108 million. On the analyst side, the company says it was named a Challenger in the 2025 Gartner Magic Quadrant and recognized in The Forrester Wave: Autonomous Testing Platforms, Q4 2025.
The product line splits into an authoring agent, an execution cloud with test management, and a separate suite for evaluating conversational AI.
KaneAI is the AI testing agent at the center of the platform, and most of its controls concern how tests are written and kept current:
Agent Testing scores every conversation across 9 quality metrics, ranging from hallucination and bias detection to context awareness and conversation flow. It can also auto-generate 60-100+ test scenarios from uploaded documents, PRDs, or connected Jira and Confluence spaces. For voice deployments, production call recordings can be uploaded for batch analysis with the same evaluation metrics, and business measures such as CSAT, sentiment, containment rate, and handoff trends can be tracked. A newer module, Agent Assurance, is promoted for checking what an agent actually did rather than what it said, but as of October 5, 2026 it is offered only through a waitlist.
KaneAI's documented first run takes three steps:
Teams that prefer the terminal can install Kane CLI from npm with the command npm install -g @testmuai/kane-cli. The same KaneAI flows can then be triggered from a terminal, a CI pipeline, or a coding agent, and the runs sync back to the dashboard for replay and reporting. Instructions do not have to be written in English: KaneAI translates instructions written in another language, such as Spanish, into English to understand the context before it acts.
Connecting an AI coding client to the MCP server follows its own short sequence:
Billing is per parallel session rather than per named user on every product line except Test Manager, so adding testers does not automatically add cost. Prices below are in USD per month as listed on October 5, 2026.
| Product | Free access | Annual billing (per month) | Monthly billing |
|---|---|---|---|
| KaneAI (per agent) | No free KaneAI plan; the free tier covers Kane CLI with local authoring | Starter $17, Pro $89, Max $179 | Starter $19, Pro $99, Max $199 |
| Test Manager (per user) | Free plan with unlimited projects and test runs | Premium $49 | Premium $59 |
| Live testing (per parallel session) | Limited 2-minute sessions on 200+ desktop browsers, renewed monthly | Virtual Live $15, ChromeOS Live $29, Real Device Plus Live $39 | Not shown |
| Automation (per parallel session) | 100 lifetime minutes with 2 parallel sessions | Desktop web $79, virtual devices $139, real devices $199 | Desktop web $99 |
| HyperExecute (per parallel session) | 300 minutes with 2 concurrent sessions | Linux $103, MultiOS $159 | Linux $129, MultiOS $199 |
| Performance testing, JMeter (per license) | 100 concurrent users, 100 VUH a month, 40-minute test cap | Basic $79 (2,000 users), Pro $349 (8,000 users) | Not shown |
| Agent Testing | Free start from the product page | Custom quote | Custom quote |
The plan cards also list a Linux-only desktop web automation plan at $29 per month billed annually, while the pricing FAQ says paid automation plans start at $79. Beyond the 2-minute live sessions, the free Live tier includes 5 real-device sessions of up to 2 minutes each every month and 100 accessibility tests per organisation.
KaneAI is metered in credits. Starter includes 2,000 credits per agent, which the vendor equates to about 25 test creations of roughly 40 steps; Pro includes 12,000 credits, Cloud KaneAI Web, and 100 HyperExecute minutes a month; Max includes 25,000 credits, Cloud KaneAI Web and Mobile, and 300 HyperExecute minutes. Kane CLI itself is free to install, local runs are free, and cloud runs draw on the plan's monthly credits.
Other cost rules that change the bill:
The pricing FAQ states that plans can be cancelled or downgraded at any time from the billing portal, that changes take effect from the next billing cycle, and that fees already paid are non-refundable. Some customers describe a different experience: as captured on October 5, 2026, three of the most recent reviews on a third-party review platform (95 reviews, 3.2 out of 5 overall) said a subscription could not be cancelled from the account dashboard or by the reviewer directly.
Yes. LambdaTest was renamed TestMu AI on January 12, 2026, and the company says existing logins, scripts, API keys, and integrations keep working.
Several products have free tiers, including Test Manager, limited Live sessions, 100 lifetime Automation minutes, and 300 HyperExecute minutes. KaneAI has no free plan; it starts at $19 per agent per month, or $17 with annual billing.
Yes. KaneAI exports generated tests to Selenium, Playwright, Cypress, and Appium in multiple languages.
Fees already paid are non-refundable. Cancellations and downgrades take effect from the next billing cycle.
No, according to the company: customer inputs and outputs are not used to train LLM models.
