Cekura is the testing, observability, and self-improvement platform for production voice and chat AI agents. It simulates thousands of scenarios, catches failures, diagnoses the root cause, rewrites prompts and config, then re-validates with a full regression sweep. Unlike tools that hand failures back to your team, Cekura closes the loop by fixing the agent itself and proving the fix holds without overfitting.
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. Automated system pings to catch silent production failures.
Cekura is an end-to-end QA for Voice & Chat AI Agents. Cekura helps Conversational AI companies with pre-production testing and simulation as well as monitoring of production calls to ensure quality and reliability at every stage of development
Vocera helps AI developers build production-ready voice agents 10X faster. It generates adversarial scenarios, simulates realistic calls and gives actionable insights to your agents. It also monitors production calls to ensure complete reliability.
Most teams scaling Voice AI think they can monitor quality with a simple LLM prompt. They are wrong.
An LLM can t hear a "crunchy" voice line, it can t accurately measure a 500ms "barge-in," and it struggles with the nuances of true conversational flow.
When we built Cekura Monitoring, we realized we had to go beyond the LLM. We combined Heuristic and Statistical models with our Metric Optimizer to solve the "Scaling Wall."
