What is Klarent?
Klarent is an autonomous testing platform from the team formerly known as fore ai, founded in Zurich in 2023 by former Google engineers. You describe what to test in plain English and a multi-agent system explores the app, plans the scenario, generates the automation, runs it, and verifies the outcome across web, iOS, and Android. When the UI changes, tests self-heal instead of failing, and the platform integrates with GitHub, Jira, Slack, and CI/CD pipelines.
Klarent FAQs
What is Klarent?
Klarent is an autonomous testing platform from the team formerly known as fore ai, founded in Zurich in 2023 by former Google engineers. You describe what to test in plain English and a multi-agent system explores the app, plans the scenario, generates the automation, runs it, and verifies the outcome across web, iOS, and Android. When the UI changes, tests self-heal instead of failing, and the platform integrates with GitHub, Jira, Slack, and CI/CD pipelines.
What are the main features of Klarent?
Klarent offers Plain-English test creation with no scripting required, Multi-agent system: explorer, planner, coding, verifier, runner, and notifier agents, Self-healing tests that adapt to UI and logic changes automatically, Cross-platform coverage for web, native iOS, and Android from one definition, Integrations with GitHub, GitLab, Bitbucket, Jenkins, Azure DevOps, Jira, Linear, Slack, and Teams, Custom model fine-tuning on your proprietary test data, SOC 2 compliant and ISO 27001 certified with cloud, private cloud, or on-premises deployment and Free exploration tier at app.klarent.ai.
How much does Klarent cost?
Klarent is a paid product. Prices and plans change over time, so check its official website for the current pricing before you buy.
What are the pros and cons of Klarent?
Strengths of Klarent include Self-healing tests directly attack the maintenance drag that kills most automation suites; Plain-language test definition opens QA participation to non-engineers; Enterprise security posture with SOC 2, ISO 27001, and on-premises deployment options. On the downside, Annual license model with no public per-month pricing; contact sales required; Enterprise positioning means it is likely priced beyond small teams and indie devs; AI-generated test plans still need human judgment on what is actually worth testing.