Posts tagged with "Voice Ai"

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.

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.

Cekura lets you replay production calls against new model versions to detect regressions, benchmark performance, and validate upgrades automatically - all from real user data.

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.

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

Test Vapi voice agents with automated simulations, load testing up to 2000+ calls, 25+ metrics, red teaming, and production observability using Cekura.

Test Retell AI voice agents with Cekura's automated simulations, A/B regression, load testing, red teaming, and production monitoring across speech, latency, tools, and QA metrics.

Benchmark language models and AI performance for voice agents using real conversations, latency, interruptions, tool calls, and production-grade voice metrics with Cekura.

Cekura helps teams test speech-to-text accuracy across accents, dialects, and real speaking conditions with automated simulations, metrics, and production-ready QA.

Test and compare ASR barge-in performance with Cekura’s voice testing platform. Measure interruption latency, TTS overrun, transcription accuracy, and recovery across real-world voice scenarios.

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.

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

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

Cekura provides automated unit testing for intents and entities in voice agents, helping teams validate NLU accuracy, catch regressions and improve reliability.

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

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

Cekura stress-tests Voice AI systems under real-world load, noise, and dialogue chaos, ensuring stability, accuracy, and resilience at scale.

Cekura is an automated platform that auto-generates, runs, and analyzes test cases for voice assistants: covering intents, dialogue flows, and speech accuracy to ensure reliable voice AI performance.

Run voice bot tests with automated pass/fail reports. Automate call simulations, validate responses, and ensure reliable voice AI.

Cekura phone call simulation tests full call flows with speech errors, DTMF, noise, and metrics to ensure reliable voice AI systems.

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