Monitor and Test Voice & Chat AI Agents
Launch in minutes not weeks by ensuring your agents deliver a seamless experience in every conversational scenario
Simple. Seamless. Smart.
Tired of calling agents?Automate it today.
Integrates directly with
How Cekura Works
simulate scenarios
Start Call: Greet Customer
Outbound Call
You are calling a customer back about a problem they were having with one of our products.
Your new prompt broke appointment cancellation?
Quickly test how prompt changes impact core user flows like cancellations, reschedules, or follow-ups.
Personalities
Female, American Accent, Professional
Male, British Accent, Professional
Female, Indian Accent, Pleasant
Male, German Accent, Angry
An impatient, interruptive user causing issues?
Test how your agent handles interrupts and off-script users.
Replay Real Conversations
An old conversation that always causes issues?
Replay known trouble spots to prevent recurring failures.
Evaluations
Skipping compliance checks suddenly?
Test key flows for missing disclaimers or checks — catch issues before they go live.
Observability
Detect voice quality issues
Purpose-built signals for voice: gibberish detection, interruption tracking, latency, sentiment, pitch - running on every call automatically.
Stereo recordingsReal-time10+ metrics
Optimize LLM Judges
Tune evaluation prompts against real call recordings in Labs. Edit, replay, score - until your judges match ground truth.
Auto ImprovePrompt evalCustom Code
Track production metrics
Build custom plot layouts - duration trends, sentiment, drop-off, success rates. Filter by agent or date.
Add PlotLive Refresh
Real-time Alerting
Instant notifications for errors, failures, and performance drops. Configure thresholds and get alerted via Slack, email, or webhooks.
Custom RulesMulti-channelInstant
Conversation Analytics
Deep dive into conversation patterns, user behavior, and interaction flow. Identify bottlenecks and optimize your agent's performance.
Flow AnalysisUser Insights
Works for everyone
Test any workflow with various personalities and evaluate based on your needs
How to Build a Self-Improving AI Agent with Cekura
Building an AI agent that gets smarter with every interaction is possible with the right platform. Here's how to build a fully automated feedback loop using Cekura's testing and observability platform.
Lavish Gulati
Tue Apr 14 2026
Engineering Reliability: Why Your Voice AI Needs a CI/CD Pipeline
In Voice AI, small changes are dangerous. Learn how to build a production-grade CI/CD pipeline with unit tests, E2E infrastructure testing, and a production feedback loop that catches failures before they reach users.
Dileep Chagam
Fri Apr 03 2026
Why Multi-Turn Red Teaming Works: The Data Behind Automated Voice AI Security Testing
Single-turn red teaming has a 19.5% success rate. Multi-turn attacks hit 92.7%. Here's the data behind why multi-turn red teaming works and how we automated it for voice AI.
Satvik Dixit
Tue Mar 24 2026