Cekura Introduction

Cekura Introduction. Cekura automates QA, testing & observability for Conversational AI voice agents—ensuring reliability, accuracy, and real-time insights.

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What Is Cekura?

Cekura is the first end-to-end automation platform purpose-built for voice AI quality. It unifies QA, testing, and observability into a single workflow—empowering teams to validate, benchmark, and monitor conversational agents *before* and *after* deployment. From simulating thousands of nuanced call scenarios in staging to detecting subtle performance regressions in live production environments, Cekura ensures voice agents meet enterprise-grade standards for accuracy, empathy, latency, and resilience—without manual scripting or fragmented tooling.

How Cekura Works

With Cekura, teams define intent-rich test scenarios using dynamic personas, real-world audio samples, and multi-turn workflows—then generate scalable, context-aware test datasets automatically. Agents are evaluated against custom KPIs (e.g., intent recognition rate, fallback frequency, tone consistency) and benchmarked across versions. In production, Cekura ingests call transcripts, ASR/NLU confidence scores, and audio metadata in real time—surfacing anomalies, tracking conversation health trends, triggering alerts on SLA breaches, and enabling instant forensic replay of any interaction—all through a unified, low-code dashboard.