Posts tagged with "Conversational Ai"

Master chatbot testing for LLM-powered Al agents: Learn testing strategies, checklists, and tools to build reliable bots (published in October 2025).

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.

Explore 12 key metrics—like interruptions, WPM, sentiment, and talk ratio—to enhance your AI conversation monitoring and insights.

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.

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.

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.

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."

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

Explore how Cisco and Cekura are delivering seamless end-to-end AI Testing, observability for enterprise conversational AI deployments.

Dive into emerging trends and real-world applications in conversational AI: from voice AI agents in healthcare, finance, logistics and other sectors

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

Discover the 10 best chatbot testing platforms in 2025. Compare tools like Cekura, Botium, Applause, QBox, and more to test, validate, and monitor AI chatbots for reliability, NLU accuracy, and performance.

Cekura is the leading AI chatbot testing platform. Automate scenario generation, regression testing, and production monitoring to build reliable, compliant, and scalable conversational agents.

Automated AI agent evaluation with Cekura. Test, monitor, and improve voice and chat agents using scenario simulation, metrics, observability, and regression testing.

Cekura is the leading chatbot testing platform for AI teams. Automate pre-deployment validation, monitor live chatbot performance, and integrate continuous testing into CI/CD pipelines. Ensure reliable conversations across edge cases with custom metrics and real-time observability.

Evaluate your conversational AI agents for accuracy, safety, consistency, and robustness using Cekura’s full reliability testing suite.

Discover the best platforms for evaluating AI conversation quality in real-time. Compare Cekura with other QA tools and learn how automated testing and monitoring improve voice and chat agent reliability.

Cekura provides a complete conversational AI testing suite that automates simulation, regression, and live monitoring for chat and voice agents. Test accuracy, latency, safety, and compliance at scale.

Cekura’s dashboards centralize chat and voice agent test results with real-time metrics, alerts, and regression tracking for better QA insight.

Cekura provides unified testing for IVR and chatbot systems, ensuring reliable cross channel flows, edge case coverage, and real world performance at scale.