Cekura
QA, testing, and visibility for automated dialogue AI voice agents.
Introduction
Automates QA, testing, and observability for Conversational AI voice agents.
What is Cekura?
Cekura enables dialogue AI teams to automate quality assurance throughout the entire lifecycle of their AI agents – from pre-production simulations and evaluations to the monitoring of actual production calls. It allows for seamless integration into CI/CD pipelines, ensuring consistent quality and reliability at every stage of developing and deploying these AI-powered voice agents. Cekura makes it easy to test and monitor these agents, enabling users to launch them in just minutes and ensuring that they provide a smooth and seamless experience in every dialogue scenario.
How to use Cekura?
Users can test their AI voice agents using datasets, workflows, roles generated by AI, as well as custom-made data and real audio simulations, and evaluate them based on their own set of metrics. To ensure visibility, Cekura provides real-time insights, detailed logs, and trend analysis to help users achieve optimal performance, and it also sends immediate alerts in case of errors or performance declines. The platform also allows users to replay actual conversations and monitor the progress of each call through intuitive dashboards.
The core functions of Cekura
QA for automated dialogue AI agents
Simulation and evaluation prior to production
Monitoring of production calls
Seamless integration with CI/CD pipelines
Use AI-generated and custom datasets for testing purposes.
Created based on datasets containing workflow information, role assignments, and real audio recordings.
Operational evaluation based on custom metrics
Real-time insights and detailed logs (observability)
Real-time alerts for errors and performance declines
Intuitive performance dashboard
Supports a variety of conversational scenarios and allows for individualization.
Simulation and evaluation prior to production
Monitoring of production calls
Seamless integration with CI/CD pipelines
Use AI-generated and custom datasets for testing purposes.
Created based on datasets containing workflow information, role assignments, and real audio recordings.
Operational evaluation based on custom metrics
Real-time insights and detailed logs (observability)
Real-time alerts for errors and performance declines
Intuitive performance dashboard
Supports a variety of conversational scenarios and allows for individualization.
Visits：13
Updated：2026-11-07
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