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 AI quality is surprisingly difficult to measure consistently. I like that this goes beyond transcript evaluation and looks at things like interruptions, latency, and delivery quality. That's usually where real production issues show up
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
Love the idea of making voice agents “self-healing” instead of just observable.
Cekura
@abhi_nebhnani thanks! appreciate it.
Daily.co
I'm a huge fan of the work the Cekura team is doing. Closing the development loop with testing, evaluation, and paths to verifiable improvement is the single most valuable thing you can do in an agentic coding context. This is hard for voice agent development, for a bunch of reasons, including that there are many moving parts, gathering metrics robustly can be tricky and subtle, and success criteria are complex. Cekura has created great building blocks and high-leverage agent skills/workflows for solving these problems. Congratulations to the team on this launch, and all the effort and good thinking that went into it!
MonoCloud for Startups
Congrats on the launch. The hard part of a self-improvement loop is the blast radius. When an agent rewrites its own behavior from production calls, a fix for one flow can quietly bend a compliance flow sitting next to it, and in healthcare that is the thing every security review hunts for. Closing that loop safely, so the agent improves without drifting out of its guardrails, is the whole game, and it is a genuinely hard problem to have taken on.
Cekura
Lets Go Team!!!!