Vocera

Cekura is a comprehensive quality assurance and observability platform for conversational AI agents, specializing in voice and chat interfaces. It enables developers to test, monitor, and continuously improve their agents through automated simulations, real-time production monitoring, and intelligent feedback loops. The platform is designed for AI developers and teams building production-grade voice agents, particularly those using frameworks like Vapi, Retell, ElevenLabs, or custom stacks. It helps catch regressions before deployment and provides deep insights into production behavior. Cekura works by generating adversarial scenarios, simulating realistic calls with diverse personas, and running parallel evaluations across voice-specific metrics like empathy, responsiveness, hallucinations, and compliance. Its latest enhancements include an Insights feature that clusters failing LLM-judge calls into root-cause themes, and OpenTelemetry tracing for deep visibility into agent execution. The platform also now supports evaluator and metric versioning, an Optimize Agent button that suggests prompt improvements, and EU region deployment for lower latency and data residency. For production monitoring, Cekura offers real-time dashboards with voice-specific quality signals—gibberish detection, interruption tracking, latency, sentiment, pitch—plus custom alerting via Slack, email, or webhooks. Conversation analytics provides flow analysis and user behavior insights. Compliance is covered with SOC 2, HIPAA, and GDPR certifications, and BYOC deployment is available for enterprises. Where Cekura differentiates itself from general-purpose testing tools is its deep specialization in voice AI—measuring signals most platforms ignore (like endpointing and interruption handling)—and its ability to self-improve agents through evaluator-driven prompt optimization. For teams building voice agents at scale, it bridges the gap between pre-launch testing and ongoing production quality.