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 and reliability at every stage of development and deployment.
This is the 4th launch from Cekura. View more
Cekura
Launching today
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.
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Launch Team
Voice agents fail in ways text evals never catch — interruptions, latency, someone talking over the bot. The "loop" framing is the right one: testing voice once at build time is basically useless. Would love to know how many simulated calls it takes before the improvements show up.
Love seeing the focus on proving that a fix doesn't introduce regressions elsewhere. Reliable AI systems need repeatable validation, not just faster debugging.
For teams already using CI/CD pipelines, how much setup or configuration is typically required to integrate Cekura, and is it compatible with most existing tooling?
Jots
Nice launch! What CI/CD tool integrations do you support?
Does Cekura provide regression testing capabilities to catch quality drops when agents are updated or retrained?
Simulating messy real-world conversations with interruptions, pauses, and background noise feels much closer to production than traditional scripted evaluations.
Evabot for Slack
Cekura
@satiwick1 Thanks for your encouraging comment. Means the world to us. If you get a chance do try cekura for your agent at cekura.ai