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.