Voice agent testing 2026 Rank: #3230

Cekura

Automated QA for Voice AI agents.

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Trial; then from $500/mo

Verdict

A quick read before you dig into the full page.

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Automated QA for Voice AI agents
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Limited language support
Pick this when
End-to-end voice testing

Overview

Cekura is an end-to-end voice testing and voice observability platform designed to support and improve Voice AI and Chat AI agents. It offers various features such as pre-production testing, live production monitoring, benchmarking, and issue detection along with intelligent insight for continuous improvement.

Cekura enables users to run numerous synthetic conversations to extensively test these AI agents before they are put into live use. It operates by identifying potential problems, reproducing them in a simulated environment, and then autonomously suggesting fixes.

The tool conducts 'Adversarial red-teaming' to examine for unscripted behaviours and potential vulnerabilities in the AI agents. Moreover, it maintains real-time monitoring across all calls to catch any drifts in live production.The platform is compatible with existing tools and platforms of the users, making scaling up AI a non-disruptive process.

It is trusted across numerous industries and is commendable for its reliability and efficacy in voice AI testing, monitoring, and improvement.In addition, Cekura benchmarks AI performance across platforms and models enabling users to select the most effective one.

They also provide ongoing customer support, making it a comprehensive tool for managing and improving voice-enabled AI agents.

Cekura website

Access & connections

Where you can use Cekura.

Platforms

Web

Capabilities

What this tool accepts, produces, and is strongest at.

Input

  • Audio

Output

  • Text
  • Audio

Supported features

  • QA Automation

Pros & cons

Pros

  • End-to-end voice testing
  • Voice observability
  • Pre-production testing
  • Live production monitoring
  • Intelligent insight
  • Synthetic conversation capability
  • Autonomous issue fixing
  • Adversarial red-teaming
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  • Real-time monitoring
  • Cross-platform performance benchmarking
  • Ongoing customer support
  • Compatible with existing tools
  • Live drift detection
  • Autonomous problem-solving
  • Simulated environment testing
  • Unscripted behaviour examination
  • Extensive pre-use testing
  • Real-time monitoring across calls
  • Non-disruptive process for scaling
  • Industry trusted
  • Customer support
  • Automated QA for voice agents
  • Voice agent testing automation
  • Monitor production conversations
  • Test instruction-following
  • Automated self-improvement loops
  • Integration with existing tools
  • HIPAA, SOC 2, GDPR compliant
  • Solution-oriented customer support
  • Confido and Kastle endorsements
  • Simulated testing before live use
  • Testing for off-script behavior
  • Latency and coverage detection
  • Conversational quality testing
  • Pipeline development support
  • Automated, version-controlled test operations

Cons

  • No offline functionality
  • Exclusively voice-centric
  • Limited language support
  • No freemium model available
  • Dependent on synthetic conversation
  • Lacks third party integrations
  • No mobile application
  • Fixed testing scenarios
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  • Platform-specific performance benchmarking

Releases 1

Initial release September 4, 2026 Current
Initial release of Cekura.

FAQ 12

What is Cekura?
Cekura is an end-to-end voice testing and observability platform specifically designed to support and improve Voice AI and Chat AI agents.
What features does Cekura offer?
Cekura offers features such as automated pre-production testing, live production monitoring, cross-platform benchmarking, AI issue detection, and intelligent insights for continuous AI improvement. It enables synthetic conversations and conducts adversarial red-teaming for AI vulnerability scanning. Furthermore, it integrates with existing tools and platforms for non-disruptive AI scalability.
How does Cekura support voice AI and chat AI testing?
Cekura supports voice AI and chat AI testing by enabling pre-production testing where synthetic conversations are run to extensively test AI agents before they go live. It detects issues, reproduces them in a simulated environment, and even suggests fixes. Live production is monitored for any drifts and an 'Adversarial red-teaming' is carried out to check for unscripted behaviors and potential vulnerabilities.
What is the role of synthetic conversations in Cekura?
Synthetic conversations in Cekura serve as simulations for extensively testing AI agents in pre-production stages. These conversations help identify potential problems which can then be reproduced in a simulated environment for further analysis and resolution before the AI system is put into live use.
What is adversarial red-teaming in Cekura?
Adversarial red-teaming in Cekura is a method employed to scrutinize AI agents for unscripted behaviors and potential vulnerabilities. This pro-active problem detection allows for potential issues to be identified, simulated and resolved, thus ensuring a more robust and reliable AI system.
How does Cekura handle AI vulnerability scanning?
AI vulnerability scanning in Cekura is undertaken via a process known as 'Adversarial red-teaming'. It involves probing AI agents for potential weaknesses, reproducing such identified issues in a simulation, and then autonomously suggesting fixes to rectify these vulnerabilities.
What capabilities does Cekura provide for pre-production testing?
Cekura provides extensive pre-production testing capabilities by allowing users to run numerous synthetic conversations. It helps identify and simulate potential problems before the AI agents go live, providing an opportunity to troubleshoot and rectify issues beforehand.
Does Cekura offer real-time monitoring?
Yes, Cekura offers real-time monitoring across all conversations. This feature allows it to catch any drifts in live production, ensuring optimal performance and immediate issue detection.
Is Cekura compatible with pre-existing tools and platforms?
Yes, Cekura is compatible with pre-existing tools and platforms. It integrates with your existing tools and workflows, allowing teams to scale AI without any disruptions.
How does Cekura ensure AI scalability?
Cekura ensures AI scalability by offering compatibility with existing tools and platforms. This strategy allows for seamless scalability as it doesn't disrupt current workflows, permitting better integration and growth of AI processes within the user's ecosystem.
What support does Cekura provide for issue detection and AI improvement?
Cekura supports issue detection and AI improvement by providing live production monitoring and pre-production testing that identifies potential problems. Once these are detected, they are reproduced in a simulated environment and fixes are suggested. Alongside this, Cekura provides intelligent insights for continuous improvement of the AI system.
How does Cekura perform cross-platform benchmarking?
Cekura performs cross-platform benchmarking by running similar scenarios across various platforms and models. By doing so, it allows users to understand and compare the performance of their AI agents across different platforms and choose the one that performs most effectively.
Cekura Trial; then from $500/mo