Test, Monitor and Self Improve Voice & Chat AI Agents
Launch in minutes, not weeks. Test your agent before going live, monitor real production calls, and continuously improve with Cekura's intelligent feedback.
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
Cekura for Agents: MCP Server and Tools for Voice AI Testing
Cekura has an MCP server. Coding agents (Claude Code, OpenAI Codex, Cursor, Windsurf) can trigger voice agent test runs, schedule recurring evals, and review pass/fail results without leaving their editor.
Dileep Chagam
Tue May 26 2026
Self-Improving Voice Agents: Closing the Eval Loop Automatically
Learn how to build a self-improving voice agent loop that automatically diagnoses failing evals, applies prompt fixes, catches regressions, and iterates to 100% pass rate.
Lavish Gulati
Tue May 26 2026
A Developer's Guide to Voice AI Evaluation Metrics (2026)
Developer's guide to voice AI evaluation in 2026. Metrics, scenario testing, hallucination detection, persona QA, and per-stack testing for major voice stacks.
Janhvi Nandwani
Fri May 22 2026