Cekura
Automated QA for Voice AI and Chat AI agents
1.8K followers
Automated QA for Voice AI and Chat AI agents
1.8K followers
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 3rd launch from Cekura. View more
Cekura
Launched this week
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.
Free Options
Launch Team / Built With
Cekura
Excited to see this go live! 🚀
Working on our voice simulations and agent stack taught me that reliability is all about the nuances. We built Cekura to give developers the specific visibility needed to master those details and move past the guesswork.
Can't wait to see everyone dive into the labs and start leveling up their agents!
Cekura
Super excited to see this out!
Got to work closely on the metrics side of things. Seeing it come together into something teams can actually rely on in production is incredibly satisfying.
Huge shoutout to the team for pushing this across the finish line.
Cekura
Blind spots in production voice agents are brutal — you don't know your agent is skipping verification steps or missing required disclosures until a compliance team surfaces it weeks later. Monitoring 100% of live calls at the session level rather than spot-checking is the only real fix. The P50/P90 latency tracking and interruption detection on production traffic is also underrated — that's where infrastructure regressions hide.
Cekura
🚀 I’m so proud of the work we’ve done on Cekura Monitoring. I personally worked on the Smart Metric Alerting engine, which saves Voice and Chat AI teams from scrolling through thousands of calls. Now, you only get a ping when something actually feels off.
The best part? The customization. It allows our users to tune out the noise and focus purely on the performance metrics that define their success. It’s a total game-changer for anyone scaling AI agents.
Really helpful feature.
this is cool. the 30 predefined metrics thing is smart cause most ppl building voice agents dont even know what to measure at first. nice that you dont have to start from scratch
Crustdata
Congratulations on the launch team @Cekura
Cekura
Thanks@manmohit
Cekura
Thanks a lot @manmohit
We've been using Cekura for our voice AI testing and observability for the last year and the product is the best in the market. The team absolutely cooks!