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Klaros-Testmanagement vs TestMu AI

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TestMu AI

8.3#1 in test management softwareFrom $17 a month
Free planAndroidiOSWebAPI
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What both publish

FactKlaros-TestmanagementTestMu AI
Company historyverit Informationssysteme GmbH says it has developed software since 1997 and marketed Klaros-Testmanagement since 2010.The company says LambdaTest evolved into TestMu AI on January 12, 2026.
DeploymentNative installation is supported on Windows and Linux, and a Docker deployment is documented.Deployment options include SaaS cloud, private cloud, and on-premise; the page says test execution can run fully air-gapped, while AI-agent features require connectivity to TestMu AI APIs.
HeadquartersKaiserslautern, GermanyThe site lists its headquarters at 1 Sutter Street, Suite 500, San Francisco, California 94104.
LicenceThe application is distributed under a Limited Use Software License Agreement; the Docker integration repository itself is MIT-licensed.The hosted TestMu AI service is proprietary; selected public components are separately open source, including the Rook project under Apache License 2.0 and agent-skills under MIT.
Rating on Capterra0 out of 5 from 0 reviews4.6 out of 5 from 547 reviews.
Rating on G22.5 out of 5 from 1 reviewNo rating is available because G2 says the vendor, products and reviews were permanently removed for violating its terms.

Klaros-Testmanagement plans

  • Community EditionFree
  • Enterprise EditionPriced on request
  • Mobile EditionPriced on request

TestMu AI plans

  • FreeFree
  • KaneAI Starter$17 a month
  • Test Manager Premium$49 a month
  • Web Automation on Desktop$79 a month
  • Performance Testing - Basic$79 a month
  • KaneAI Pro$89 a month

Pick Klaros-Testmanagement if…

Klaros-Testmanagement suits teams that need to organize manual and automated testing, link requirements to test work, and report on results. Its server installation and integrations may also suit teams using issue trackers or Jenkins/Hudson.

Pick TestMu AI if…

TestMu AI suits teams testing web, mobile, or AI applications that want automated test workflows and integrations with development tools. Its private-cloud or on-premise deployments may suit organizations with those deployment needs, though AI-agent features require connectivity to its APIs.

Charts they share