Cekura

Test voice agents before launch, monitor after, improve automatically

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About

Cekura solves a problem with no obvious answer: how do you know the voice agent you built actually works before it talks to real customers? The platform runs thousands of synthetic conversations before launch, catches failures, and measures performance with clear metrics.

The key feature is the self-improvement loop: Cekura flags an issue, reproduces it in simulation, suggests a prompt fix, and re-runs the gate. All automatic and tracked in CI/CD. You can benchmark Vapi against Retell against ElevenLabs on the same scenarios and see which one actually performs best.

The platform supports adversarial testing for security leaks and prompt injection attacks, plus production monitoring for real-time drift detection. It is HIPAA, SOC 2, and GDPR compliant — critical for any team working in healthcare or finance.

AI-assisted draft, human-reviewed before publishing — see how we choose & review tools.

Why we picked it

Voice agents are spreading fast but nobody knows how to measure them properly. Cekura gives you clear numbers and direct platform comparisons. The self-improvement loop that suggests prompt changes and re-tests is something I have not seen in any other tool.