Cekura Features

Cekura Features. Cekura automates QA, testing & observability for Conversational AI voice agents—ensuring reliability, accuracy, and real-time insights.

Cekura’s Core Capabilities

End-to-End Voice AI Quality Automation

Pre-Production Scenario Simulation & Regression Testing

Production-Grade Call Monitoring & Behavioral Analytics

Native CI/CD Integration (GitHub Actions, GitLab CI, Jenkins)

AI-Augmented Test Data Generation (Text + Audio)

Persona-Driven, Workflow-Based Test Orchestration

Custom Metric Framework & Cross-Version Benchmarking

Real-Time Observability Stack (Logs, Metrics, Traces)

Proactive Alerting on Latency Spikes, Accuracy Drops & Tone Drift

Unified Dashboard with Conversation Replay & Root-Cause Filtering

Domain-Agnostic Support: From Customer Service to Clinical Intake

Who Uses Cekura?

Voice AI engineering teams shipping high-stakes conversational agents at scale.

Contact centers automating support, sales outreach, and collections—while maintaining compliance and CX excellence.

Healthcare and legal innovators deploying empathetic, HIPAA/GDPR-aligned voice interfaces.

Product-led companies accelerating voice agent iteration cycles—from concept to production in hours, not weeks.

Non-technical stakeholders gaining full visibility into agent behavior without writing code or parsing raw logs.

QA leaders replacing manual call sampling with statistically significant, automated coverage across dialects, accents, and edge cases.

AI startups validating voice agent reliability before Series A—reducing churn, increasing NPS, and de-risking go-to-market.

Frequently Asked Questions

What is Cekura?

How does Cekura accelerate voice AI testing?

Does Cekura provide production observability?

Is Cekura SOC 2 Type II certified?

How does Cekura integrate with existing DevOps pipelines?

Which voice AI platforms and frameworks does Cekura support?