AI Models & Platforms Enterprise Only

Cekura

Test, monitor, and improve voice and chat agents continuously

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PricingEnterprise Only
Starting priceContact sales
Free planNo
Free trialYes
APIYes
Open sourceNo
DeploymentCloud
Last verifiedJuly 30, 2026
Overview

Tool overview

Cekura is listed under AI Models & Platforms AI tools.

Summary

What is Cekura?

Cekura provides automated quality assurance and observability for conversational AI. Teams can simulate realistic callers, generate test scenarios, evaluate agent behavior, replay production calls against new versions, monitor live conversations, tune LLM judges, and connect testing to CI/CD and agent workflows.

Best fit

Best for

Voice and conversational AI teams operating agents in production

Audience

Who is it for?

Voice AI product teamsConversational AI QA teamsContact-center technology teamsCompliance and operations leaders
Recommendation

Decision note

Confirm call and simulation volumes, model and telephony coverage, data retention, judge customization, production monitoring, API and MCP access, support, security terms, overages, and the current quote.

Capabilities

Key features

Voice and chat agent simulation

Scenario generation with personas and noise

Custom metrics and LLM-based judges

Production call monitoring and observability

Regression replay across model or prompt changes

API, SDK, MCP, and CI/CD workflows

Workflows

Use cases

Testing agents before launch

Detecting regressions after updates

Monitoring production call quality

Benchmarking agent vendors and models

Strengths

Pros

  • Covers pre-production and live operations
  • Supports realistic voice-specific testing
  • Publishes developer documentation and integrations
Considerations

Cons

  • Public pricing is sales-led
  • Evaluation quality depends on metric design
  • Recorded calls require privacy controls
Considerations

Limitations

Automated judges and simulations can miss context, cultural nuance, or rare failures. Teams must validate metrics, protect call data, obtain consent where required, review high-risk results manually, and avoid treating a passing score as proof of legal or operational safety.

Cost

Pricing details

Pricing modelEnterprise Only
Starting priceContact sales
Free planNo
Free trialYes
Pricing context

Billing options

Custom commercial agreementUsage and overage termsLoad testing or red-team engagement
Pricing context

Pricing note

Cekura uses a sales-led pricing model. The official pricing and support materials mention custom plans, overages, load testing, and red teaming, but no stable public starting amount or ongoing self-service free plan was confirmed.

View official pricing
Compatibility

Supported languages

  • English
Connectivity

Integrations

Retell AI

Vapi

LiveKit

Cisco

REST API

MCP clients

Specs

Technical details

PlatformsWeb, API
Multilingual supportYes
Login requiredYes
Open sourceNo
DeploymentCloud
CompanyCekura
Launch year2024
Models / versionsSimulation LLM Judges Production Monitoring
Editions / plansAgent Testing Voice Observability Load Testing and Red Teaming
Data confidenceHigh
Last verifiedJuly 30, 2026
Documentation → Release notes → Data source →
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Answers

Frequently asked questions

Cekura provides automated quality assurance and observability for conversational AI. Teams can simulate realistic callers, generate test scenarios, evaluate agent behavior, replay production calls against new versions, monitor live conversations, tune LLM judges, and connect testing to CI/CD and agent workflows.
Voice and conversational AI teams operating agents in production
The listed pricing model for Cekura is Enterprise only. Pricing can change, so users should verify the latest plan details on the official website.
Yes. The current profile indicates that a free trial is available.
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