# www.cekura.ai > AI-optimized mirror of www.cekura.ai containing 50 pages totalling 28,740 words of clean markdown content, structured data, and semantic HTML. Original source: https://www.cekura.ai/. Last updated: 2026-05-01T01:41:05.612Z. Each page is available as HTML (with JSON-LD structured data) and Markdown (text-only, ideal for LLMs and RAG). ## Homepage - [Test, Monitor and Self Improve Voice & Chat AI Agents](/site-root.html): End-to-end testing and observability for Conversational AI. Run pre-production simulations across diverse personas and monitor production conversations to test instruction-following, tool calls, and conversational quality. (723 words) ## Articles & Blog Posts - [blogs/ai-agent-evals/index.html](/blogs/ai-agent-evals/index.html) (1 words) - [blogs/ai-voice-message-response-best-practices/index.html](/blogs/ai-voice-message-response-best-practices/index.html) (1 words) - [blogs/lambdatest-pricing/index.html](/blogs/lambdatest-pricing/index.html) (1 words) - [blogs/lambdatest-test-infrastructure-reviews/index.html](/blogs/lambdatest-test-infrastructure-reviews/index.html) (1 words) - [blogs/lambdatest-alternative/index.html](/blogs/lambdatest-alternative/index.html) (1 words) - [blogs/llm-observability/index.html](/blogs/llm-observability/index.html) (1 words) - [blogs/ivr-testing/index.html](/blogs/ivr-testing/index.html) (1 words) - [blogs/ai-voice-assistant-response-guidelines/index.html](/blogs/ai-voice-assistant-response-guidelines/index.html) (1 words) - [Knowledge Base Connectors and RAG: Agentic Retrieval for Voice AI Agents](/blogs/knowledge-base-connectors-rag-agentic-retrieval-voice-ai-agents.html): Learn how to build production-grade knowledge base connectors and implement RAG-based agentic retrieval for voice AI agents — with async syncing, SSRF protection, and observability. (1,296 words) - [blogs/complete-cekura-scenario-testing-guide/index.html](/blogs/complete-cekura-scenario-testing-guide/index.html) (1 words) - [blogs/lessons-from-the-field-cekura-fde-findings/index.html](/blogs/lessons-from-the-field-cekura-fde-findings/index.html) (1 words) - [blogs/conditional-actions-robust-testing-chatbots-voice-agents.html](/blogs/conditional-actions-robust-testing-chatbots-voice-agents.html) (1 words) - [How We Built an Autoscalable Infrastructure for Voice AI Agents](/blogs/how-we-built-an-autoscalable-infrastructure-for-voice-ai-agents.html): Learn how Cekura built a custom autoscaling engine using Redis, Celery, and AWS ECS to handle unpredictable spikes, enforce multi-tenant fairness, and scale from one to hundreds of workers. (1,182 words) - [discover/monitoring-livekit-voice-agents/index.html](/discover/monitoring-livekit-voice-agents/index.html) (1 words) - [Beyond English: How Cekura Tests Voice AI Agents Across 30+ Languages, Regional Accents, and Culturally Authentic Personalities](/blogs/cekura-multilingual-voice-ai-testing/index.html): Your customers don't all sound the same. Your testing shouldn't either. Discover how Cekura tests voice AI agents across 30+ languages, regional accents, and culturally authentic personalities. (1,267 words) - ['Human like voices': The Best TTS Models](/blogs/tts-voices/index.html): Explore top TTS models that deliver authentic voices. Learn how human-like speech improves conversational AI experience and what to test in your next voice agent." (1,169 words) - [Red-Teaming Chat & Voice AI Agents: How Cekura Tests What Your Agent Should Never Say](/blogs/red-teaming-chat-voice-ai-agents/index.html): Learn how Cekura's red-teaming framework tests chat and voice AI agents for bias, toxicity, and jailbreak vulnerabilities before they reach production. (1,267 words) - [Testing and Monitoring LiveKit Voice Agents with Cekura Tracing](/blogs/testing-and-monitoring-livekit-voice-agents-with-cekura-tracing.html): Learn how to test and monitor LiveKit voice agents using Cekura's tracing SDK — covering automated simulation, production observability, custom metrics, dashboards, and alerts. (1,500 words) - [The Silence Between Words: Architecting Resilient Voice AI Systems](/blogs/the-silence-between-words-architecting-resilient-voice-ai-systems.html): Most voice AI failures don't happen because of hallucinations or mispronunciations. They happen during silence. Learn how to engineer resilient voice AI systems that handle the milliseconds between words. (896 words) - [Why Cekura Over Tracing Platforms for Monitoring Conversations](/blogs/why-cekura-ai-over-tracing-platforms-for-monitoring-quickly.html): Discover why Cekura provides superior monitoring capabilities compared to traditional tracing platforms for conversational AI agents. (1,125 words) - [Engineering Reliability: Why Your Voice AI Needs a CI/CD Pipeline](/blogs/engineering-reliability-voice-ai-cicd-pipeline/index.html): In Voice AI, small changes are dangerous. Learn how to build a production-grade CI/CD pipeline with unit tests, E2E infrastructure testing, and a production feedback loop that catches failures before they reach users. (1,025 words) - [How to Actually Evaluate Voice AI Testing Platforms](/blogs/how-to-actually-evaluate-voice-ai-testing-platforms.html): Cut through the noise in the Voice AI testing space. Learn the 4 levers — Feature, Integration, AI, and Infrastructure — that separate real platforms from wrappers, and how to evaluate vendors before you commit. (1,035 words) - [How to Monitor AI Chat and Voice Agents in Production](/blogs/how-to-monitor-ai-chat-and-voice-agents-in-production.html): How to monitor AI chat and voice agents in production using Cekura’s quality metrics, dashboards, and smart alerting. (841 words) - [blogs/best-rated-ai-virtual-receptionist-voice/index.html](/blogs/best-rated-ai-virtual-receptionist-voice/index.html) (1 words) - [blogs/ai-answering-service/index.html](/blogs/ai-answering-service/index.html) (1 words) - [blogs/9-best-conversational-analytics-software-platforms/index.html](/blogs/9-best-conversational-analytics-software-platforms/index.html) (1 words) - [blogs/elevenlabs-pricing/index.html](/blogs/elevenlabs-pricing/index.html) (1 words) - [Cekura Raises $2.4M to build the reliability layer for conversational AI](/blogs/fundraise/index.html): Cekura secures $2.4M in funding to power reliable QA for voice and chat AI agents—bringing AI testing and observability to the next generation of Conversational AI Agents (801 words) - [Chatbot Testing in 2026: A Complete Guide to LLM Agents](/blogs/complete-chatbot-testing-guide-ai-agents/index.html): Master chatbot testing for LLM-powered agents with this 2026 guide. Learn testing strategies, checklists, and tools to build reliable bots. (2,965 words) - [Why Multi-Turn Red Teaming Works: The Data Behind Automated Voice AI Security Testing](/blogs/why-multi-turn-red-teaming-works/index.html): Single-turn red teaming has a 19.5% success rate. Multi-turn attacks hit 92.7%. Here's the data behind why multi-turn red teaming works and how we automated it for voice AI. (831 words) - [Red Teaming AI Agents: Building Safety and Resilience](/blogs/redteaming-conversationalai/index.html): Discover red teaming strategies that expose vulnerabilities in your Voice AI and Chat AI agents before they scale. Learn how adversarial AI testing helps create safer, more LLM agents (859 words) - [The Dawn of Voice AI Possibility](/blogs/voiceai-usecases/index.html): Dive into emerging trends and real-world applications in conversational AI: from voice AI agents in healthcare, finance, logistics and other sectors (444 words) - [Why Single-Turn Testing Falls Short In Evaluating Conversational AI](/blogs/why-single-turn-testing-falls-short-in-evaluating-conversational-ai.html): Learn why single-turn evaluation methods are insufficient for conversational AI and how multi-turn simulations provide a more accurate assessment of chatbot performance, context awareness, and conversation quality. (802 words) - [The Hidden Cost of Ignoring LLM failures](/blogs/llm-failures/index.html): Learn how silent errors in LLM-powered systems can erode performance and trust plus practical tips to catch failures early and keep your AI reliable. (609 words) - [12 Supporting Metrics to Level Up Your AI Conversation Monitoring](/blogs/12-ai-conversation-monitoring-metrics/index.html): Explore 12 key metrics—like interruptions, WPM, sentiment, and talk ratio—to enhance your AI conversation monitoring and insights. (626 words) - [Cisco Partners with Cekura for end to end AI testing and observability](/blogs/cekura-cisco-partnership/index.html): Explore how Cisco and Cekura are delivering seamless end-to-end AI Testing, observability for enterprise conversational AI deployments. (418 words) - [AI Conversation Monitoring: Metrics That Matter](/blogs/ai-conversation-monitoring-metrics/index.html): Discover the 6 most important metrics for monitoring AI conversations—Instruction Following, Latency, Hallucination Rate, CSAT, Interruption Handling, and Voice Clarity—to ensure reliable, high-performing voice and chat agents. (538 words) - [Choosing the Right LLM for Conversational AI](/blogs/choosing-llm-for-conversational-ai/index.html): Should you switch to GPT-5, Gemini 2.5, or DeepSeek for your Voice AI or Chat AI agents? Learn from real A/B testing, benchmarking, and regression testing insights on choosing the right LLM for Conversational AI. (545 words) - [Test New Model Versions with Real Production Calls Using Cekura](/blogs/test-new-llm-model-versions-with-real-production-calls-cekura.html): Cekura lets you replay production calls against new model versions to detect regressions, benchmark performance, and validate upgrades automatically - all from real user data. (416 words) - [Cekura AI natively integrates with [Vapi](https://vapi.ai/) to bring end-to-end reliability and observability to voice AI agents](/partners/vapi/index.html): Cekura AI natively integrates with Vapi to bring end-to-end reliability and observability to voice AI agents. Automated testing, production monitoring, and full tool-call tracing for Vapi-powered agents. (475 words) - [Cekura and Cisco partner to elevate AI agent testing and observability for enterprises](/partners/cisco/index.html): Test and monitor Cisco Webex AI Agents with automated testing, observability, and QA for enterprise voice and chat AI. Track metrics, simulate scenarios, and ensure reliable AI agent deployments. (411 words) - [Configure & Use Cekura AI with Slack](/landing-page-for-slack/index.html): Learn how to set up and use Cekura AI with Slack. Get step-by-step instructions for configuration, customization, and best practices. (269 words) - [Cekura partners with [Retell AI](/content/blogs/testing-retell-ai-voice-agents-automated-qa-red-teaming-and-regression/index.html) to bring next-level AI voice agent testing and observability](/partners/retell/index.html): Test and monitor Retell AI voice agents with automated simulations, regression testing, and production call observability. Detect failures, validate tool calls, and ensure reliable AI deployments. (319 words) - [Cekura.ai Sub-Processors](/sub-processors/index.html): Learn about Cekura's trusted sub-processors and how we ensure your data security with our third-party service providers. (259 words) - [404](/talk/index.html): End-to-end testing and observability for Conversational AI. Run pre-production simulations across diverse personas and monitor production conversations to test instruction-following, tool calls, and conversational quality. (77 words) - [Cekura partners with Cartesia to bring realistic low latency test voices to its customers](/partners/cartesia/index.html): Test voice AI agents with Cartesia's ultra-realistic, low-latency TTS voices. Create custom testing personas, run large-scale simulations, and benchmark LLM providers with consistent voice quality. (187 words) - [Need Assistance with the Cekura App for Slack?](/integration-for-slack/index.html): Get assistance with the Cekura App for Slack. Contact our support team for help with configuration, troubleshooting, and general questions. (197 words) - [Get in Touch](/contact/index.html): Contact us for any questions or issues you may have. (101 words) - [Blog posts](/blogs/index.html): Read expert insights on AI voice agent testing, monitoring, and quality assurance. Learn best practices for conversational AI evaluation and reliability. (3,249 words) ## Resources - [Full Page Index](/index.html): Browse all cached pages with rich metadata - [About This Cache](/content/about.html): Methodology, technical details, and usage guidelines - [XML Sitemap](/content/sitemap.xml): Machine-readable sitemap for crawler discovery - [Robots.txt](/content/robots.txt): Crawler directives