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What is Cekura?

Cekura is an automated quality assurance and observability platform specifically designed for Voice and Chat AI agents. Built to solve the reliability issues inherent in conversational AI, it allows developers to test, monitor, and continuously improve their agents before and after deployment. The tool features a library of thousands of testing scenarios and diverse personas to simulate real-world user interactions, including impatient or off-script callers. Cekura integrates seamlessly with popular voice platforms like Vapi, Retell, and Synthflow, providing end-to-end observability. It helps teams catch hallucinations, compliance failures, and latency issues through intelligent LLM judges and real-time alerting. This workflow is ideal for AI engineering teams and enterprises in sectors like healthcare and customer service that require high-precision automated communication. By automating the testing process, Cekura enables companies to launch reliable voice employees in minutes rather than weeks.

AI Tool Review Summary

Performance Score

4.8/5

Content/Output Quality

High, technical, and data-driven

Interface

Professional and developer-centric

AI Technology
LLMNLPSpeech Recognition
Purpose of Tool

Automated QA and observability for voice and chat AI agents.

Compatibility

Integrates with Vapi, Retell, Synthflow, LiveKit, and major telephony providers.

Pricing

Freemium with paid tiers

Features

Features with the highest value for users are highlighted here.

Automated scenario testing

Real-time production monitoring

Voice-specific quality signals

LLM judge optimization

Multi-persona simulations

Parallel calling capabilities

Integration with major voice stacks

Instant conversation analytics

How It Works

1

Connect Agent

Integrate your existing voice or chat agent using supported platforms like Vapi or Retell.

2

Select Scenarios

Choose from thousands of pre-built personas and scenarios or create custom test cases.

3

Run Simulations

Execute parallel calls to test how your agent handles interruptions and complex flows.

4

Analyze and Improve

Review detailed evaluations from LLM judges and monitor production metrics to refine your prompts.

Who Is It For?

Voice AI Developers

Healthcare Providers

Customer Support Teams

AI Product Managers

Compliance Officers

SaaS Startups

QA Engineers

Telephony Integrators

Enterprise Innovation Labs

Marketing Agencies

Pricing

Free Trial

$0/free
  • Basic scenario testing
  • Standard personas
  • Community support
Popular

Pro

$199/monthly
  • Parallel calling
  • Custom scenarios
  • Advanced observability

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Pros & Cons

Pros

  • Provides deep observability into voice-specific metrics like latency and pitch.
  • Offers a massive library of pre-built testing scenarios for rapid deployment.

Cons

  • May require significant initial setup for highly custom enterprise workflows.
  • Focus is primarily on conversational AI rather than general software QA.

FAQs

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Release History

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Rating

5.0

Pros

Cons

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