Cekura

What is Cekura?

Cekura is a testing, observability, and self-improvement platform built specifically for production voice and chat AI agents. It simulates thousands of scenarios, catches failures, diagnoses root causes, rewrites prompts and configuration, then re-validates with a full regression sweep. Unlike tools that simply hand failures back to your team, Cekura closes the loop by fixing the agent itself and proving the fix holds without overfitting.

Who it's for

• AI/ML engineers who need to validate prompt changes and agent behavior before pushing to production
• Conversational AI teams building voice agents with platforms like Vapi, Retell, Synthflow, or LiveKit
• QA and reliability leads responsible for catching regressions, compliance gaps, and voice quality issues at scale

Key features

Pre-production scenario simulation

Cekura lets you run thousands of simulated calls using diverse personas — from a patient American professional to an angry German-accented caller. You can test how your agent handles interrupts, off-script users, or core flows like cancellations and reschedules before going live.

Real-time production observability

Monitor live conversations with purpose-built voice quality signals: gibberish detection, interruption tracking, latency, sentiment, and pitch — all running automatically on every call. You can build custom plot layouts for duration trends, drop-off rates, and success metrics, filtered by agent or date.

LLM judge optimization

Tune your evaluation prompts against real call recordings in a dedicated lab environment. Edit, replay, and score until your judges match ground truth — with support for auto-improvement, prompt eval, and custom code.

Automated alerting and regression testing

Get instant notifications for errors, failures, and performance drops via Slack, email, or webhooks. When a fix is applied, Cekura runs a full regression sweep to prove the fix holds without introducing new issues.

What stands out

"Cekura closes the loop by fixing the agent itself and proving the fix holds without overfitting."

Most testing tools stop at detection — they flag a failure and leave your team to figure out the fix. Cekura goes further by rewriting prompts and configuration, then automatically re-validating across thousands of scenarios. This self-improvement loop means your agent gets better continuously, without manual intervention or risk of overfitting to a single edge case.

Worth checking out if…

You're shipping voice or chat AI agents and want to move from reactive firefighting to proactive, automated quality assurance. Cekura is especially valuable for teams using platforms like Vapi, Retell, Synthflow, Five9, or LiveKit who need deep integration, real-time voice metrics, and a system that doesn't just report problems but fixes them.