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Cekura: Automates QA, Testing & Observability for Voice AI
Cekura automates QA, testing & observability for Conversational AI voice agents—ensuring reliability, accuracy, and real-time insights.
What Is Cekura?
Cekura is the first end-to-end automation platform purpose-built for voice AI quality. It unifies QA, testing, and observability into a single workflow—empowering teams to validate, benchmark, and monitor conversational agents *before* and *after* deployment. From simulating thousands of nuanced call scenarios in staging to detecting subtle performance regressions in live production environments, Cekura ensures voice agents meet enterprise-grade standards for accuracy, empathy, latency, and resilience—without manual scripting or fragmented tooling.
How Cekura Works
With Cekura, teams define intent-rich test scenarios using dynamic personas, real-world audio samples, and multi-turn workflows—then generate scalable, context-aware test datasets automatically. Agents are evaluated against custom KPIs (e.g., intent recognition rate, fallback frequency, tone consistency) and benchmarked across versions. In production, Cekura ingests call transcripts, ASR/NLU confidence scores, and audio metadata in real time—surfacing anomalies, tracking conversation health trends, triggering alerts on SLA breaches, and enabling instant forensic replay of any interaction—all through a unified, low-code dashboard.
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
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What is Cekura?
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How does Cekura accelerate voice AI testing?
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Does Cekura provide production observability?
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Is Cekura SOC 2 Type II certified?
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How does Cekura integrate with existing DevOps pipelines?
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Which voice AI platforms and frameworks does Cekura support?
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Cekura Support & Contact Information
For technical assistance, billing inquiries, or refund requests, contact our support team at: [email protected]. For faster resolution, visit our official Contact Page.
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About Cekura
Company Name: Cekura
Headquarters: 710 Lakeway Drive, Suite 200, Sunnyvale, CA 94085
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Access Your Cekura Account
Log in to the Cekura Dashboard: https://dashboard.cekura.ai
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Follow Cekura
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Stay Updated
X (Twitter): https://x.com/cekuraAi
FAQ from Cekura
What is Cekura?
Cekura is a specialized automation platform that unifies quality assurance, behavioral testing, and real-time observability for voice-based AI agents—enabling teams to ship reliable, compliant, and human-centered voice experiences with speed and confidence.
How does Cekura accelerate voice AI testing?
Cekura eliminates manual test creation by generating diverse, realistic test cases using AI personas, workflow logic, and real audio inputs. Teams run regression suites across model versions, measure performance against business-critical metrics (e.g., task completion rate, sentiment alignment), and validate agent behavior across accents, interruptions, and domain-specific jargon—before a single call goes live.
Does Cekura provide production observability?
Yes. Cekura ingests structured and unstructured voice interaction data—including ASR hypotheses, NLU confidence, latency telemetry, and speaker diarization—to deliver actionable insights. Its observability layer detects silent failures (e.g., misclassified intents, inappropriate tone shifts), surfaces correlation patterns, and enables one-click replay of flagged conversations for rapid root-cause analysis.
Is Cekura SOC 2 Type II certified?
Yes. Cekura maintains SOC 2 Type II certification—validating rigorous controls over security, availability, processing integrity, confidentiality, and privacy. This ensures trust for regulated industries including healthcare, finance, and government.
How does Cekura integrate with existing DevOps pipelines?
Cekura offers native integrations with GitHub Actions, GitLab CI, and Jenkins—allowing QA gates to be embedded directly into pull request workflows. Automated test reports, pass/fail status, and performance deltas are surfaced in PR comments and dashboards—enforcing quality as code.
Which voice AI platforms and frameworks does Cekura support?
Cekura is framework-agnostic and supports agents built on Amazon Lex, Google Dialogflow CX, Microsoft Bot Framework, Rasa, custom LLM orchestrators (e.g., LangChain, LlamaIndex), and telephony APIs (Twilio, Plivo, Vonage). It works with any voice stack that exposes transcripts, confidence scores, or audio streams.