Cekura Launches Automated QA Platform for Voice and Chat AI Agents

Garry Tan

2mo ago· 3 min readenProduct

90/100

Golden Brown

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Score90Typepress releaseSentimentpositive

Summary

Cekura launches an automated QA platform for voice and chat AI agents, offering comprehensive testing and monitoring capabilities across the entire agent lifecycle. The platform provides 30+ predefined metrics for analyzing customer experience, accuracy, conversation quality, and voice quality. It enables teams to create LLM judges with minimal annotation, offers real-time dashboards with trend analysis, smart statistical alerts for metric deviations, and automated system pings to detect production failures. The tool supports integration into CI/CD pipelines for consistent quality throughout development and deployment.

Key quotes

· 5 pulled

Out-of-the-box 30+ predefined metrics for analysis on CX, accuracy, conversation and voice quality.

Compile perfect LLM judges by annotating just ~20 conversations and auto-improve in Cekura labs.

Real-time, segmented dashboards to identify trends in Conversational AI.

Smart statistical alerts so that you get notified only when metrics shift from historical baselines.

Cekura enables Conversational AI teams to automate QA across the entire agent lifecycle—from pre-production simulation and evaluation to monitoring of production calls.

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Cekura enables Conversational AI teams to automate QA across the entire agent lifecycle—from pre-production simulation and evaluation to monitoring of production calls. We also support seamless integration into CI/CD pipelines, ensuring consistent quality