Garry Tan

Cekura - Observe and analyze your voice and chat AI agents

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.

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Dhruv Channa

Cekura 🚀🚀🚀

A lot more to come!

Sassun

Cekura is the best voice ai evals platform out there! We love it!

Sidhant Kabra

Thanks@sassun - we love working with synthflow as well!

Lavish Gulati

Huge day for the Cekura team! 🚀 As a Founding AI Engineer here, launching this feels like a massive milestone.

The reality of Voice and Chat AI right now is that the tooling has lagged behind the models. We built Cekura because we knew that spot-checking a fraction of your calls just doesn't cut it anymore. Finding out your agent went rogue or dropped a compliance step days after the fact is brutal. Cekura exists to finally turn that chaotic wall of production data into clear, actionable truth.

On the technical side, I spent my time deep in the architecture of our metric feedback pipeline and structured simulations. These features completely eliminate "vibes-based" prompt tweaking by auto-compiling perfect LLM judges, while continuously mimicking production traffic to instantly catch silent infrastructure drops.

Really excited for you all to try it out. Let us know what you think of the new features! 🙌

Aman Pathra

So proud to be a part of the team! 🌟

Working in the frontend team, we have made sure all the heavy-duty production data actually feels intuitive to navigate, and the dashboard never feels overwhelming. We focused on building a UI that highlights those 'needle in a haystack' regressions—like missed disclosures—without the noise.

Can’t wait for everyone to explore the workspace!

Wayne

Congrats on the launch! I would like to know the longest speech duration that can theoretically be analyzed. Could this be used to analyze speech recorded during a demo session with a customer? This product is able to analyze customer sentiment, which will be useful for sales.

Edwin Huertas

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

Ayush Tomar

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!

Sahitya Sridhar

Amazing product! Congrats team :) What are some of the voice only direct evals that the platform can perform?

Dr. Abhishek Sanoria
AI eval tools are exploding right now, but most stop at surface-level metrics. The hard part is tying these signals to real business outcomes (conversion, CSAT, retention). How are you bridging that gap vs just reporting latency / sentiment?
Saurabh Dutta

Congratulations on your launch @kabra_sidhant. Trying to map this mentally—
Is Vocera closer to:

  • testing (like Playwright)

  • observability (like Datadog)

  • or eval frameworks (like DeepEval)?

Or is it a new category altogether?