Posts tagged with "Testing"

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.

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.

Explore the best chat testing platforms for reliable AI agents. Cekura offers automated QA, regression testing, and real-time monitoring to ensure seamless, scalable, and high-quality chat interactions.

Discover the best AI voice testing platforms in 2025. Learn why Cekura leads with automated scenario generation, voice personas, latency monitoring, regression testing, and production call observability for reliable AI voice agents.

Cekura is the leading platform for automated testing of voice bots. From simulation to real-time monitoring, Cekura ensures reliable, compliant, and scalable AI voice agents.

Cekura automates outbound voice tests, calling your bot, recording outputs, and verifying accuracy across scenarios for continuous QA.

Cekura delivers fast, reliable A/B testing for voice agents with real-time routing, ASR/NLU accuracy checks, latency insights, and outcome-level performance metrics..

End-to-end conversational AI testing with full CI/CD integration. Validate flows, models, and voice/chat agents with automated regression, load, and accuracy checks with Cekura

Cekura provides scripted testing for IVR and voice agents, simulating real callers, validating call flows, and automating QA with detailed metrics and audio replays.

Cekura is the CI/CD testing framework for conversational agents with GitHub and Jenkins. Automatically run multi-turn conversation tests, gate PRs, catch regressions, and ship reliable AI agents with confidence using Cekura.

Automated snapshot testing for SSML and TTS voice responses with Cekura. Catch audio regressions, SSML changes, and voice drift before production with Cekura’s voice snapshot testing tools.

Cekura provides test data management tools for voice NLU, helping teams manage, generate, and validate speech data across accents, noise, and real-world scenarios.

Validate every chatbot conversation path before users hit it with Cekura. Automatically test branching flows, multi-turn context, edge cases, and real-world behavior to ensure reliable task completion at scale.

Cekura provides automated unit testing for intents and entities in voice agents, helping teams validate NLU accuracy, catch regressions and improve 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 helps teams review and approve NLU diffs for voice bots with precise semantic detection, impact analysis, and automated regression testing so every model or prompt update is safe to ship. HIPAA and SOC 2 compliant.

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