Cekura is a purpose-built platform for testing and validating voice agents, including virtual assistants, call center bots, and other AI-powered conversational systems. By simulating real-world interactions, Cekura enables teams to detect failures early—such as incorrect answers, poor logic flow, or hallucinated outputs—and resolve them before the agent reaches end users. The platform supports structured test cases, automated failure detection, regression testing, and side-by-side comparisons between agent versions. With visual analytics and clear performance metrics, teams can make informed decisions, prioritize improvements, and confidently deploy their AI agents. Cekura is ideal for teams looking to improve the quality, reliability, and customer experience of their conversational AI products.
Features
- Voice & Chat Agent Testing – Simulate real conversations to test performance.
- Automated Failure Detection – Detect incorrect or inconsistent responses instantly.
- Performance Analytics – Visual dashboards to monitor accuracy
- failure rates
- and coverage.
Use Cases
- Pre-launch QA for Voice Bots – Test agents before deployment to avoid live errors.
- LLM Output Testing – Catch hallucinations/logic errors in conversational LLMs.
- Compliance & Consistency Checks – Ensure agents respond accurately in regulated industries.
