Cekura

Cekura

Cekura is an automated quality assurance platform focused on voice and chat AI agents. Through automated testing and replay capabilities, it helps enterprises quickly deploy reliable conversational AI, ensuring stable interactions and a superior user experience.
Rating:
5
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Conversational AI quality assuranceAutomated testing for AI agentsVoice AI testing platformChatbot regression testingMulti-turn dialogue simulation testingAI reliability monitoring

Features of Cekura

Offers an automated test library with thousands of scenarios, supports parallel execution, and produces actionable reports.
Uses replay testing to automatically capture and compare old and new model versions, precisely identifying performance regressions.
Supports multi-turn simulations to more accurately assess performance in contextual conversations.
Seamlessly integrates with mainstream AI platforms (such as Synthflow, Bland, Vapi, Retell, Cisco, LiveKit, Pipecat, ElevenLabs) to streamline testing workflows.
Provides an intuitive human review interface that lets teams annotate and prioritize test results, enabling quick validation of version quality.

Use Cases of Cekura

Before deploying a new version of a voice AI agent, automate validation of its accuracy, latency, and hallucination rate.
Development teams integrate it into CI/CD pipelines to continuously monitor performance and reliability changes of AI agents.
Healthtech companies test complex multi-step workflows (such as patient authentication) to ensure secure and reliable interactions.
Customer support teams evaluate chatbot responses for correctness and stability under high-load conditions.
Product teams need to validate the updated accuracy of SaaS product documentation and AI help articles.

FAQ about Cekura

QWhat is Cekura and what problems does it address?

Cekura is a conversational AI automated QA platform that tests and monitors the reliability of voice and chat AI agents. It helps enterprises quickly uncover issues in accuracy, latency, and safety, preventing customer trust or revenue losses due to AI errors.

QHow does Cekura test new versions of AI agents?

Cekura uses replay testing to automatically capture real user conversations in production (with data desensitized), and replays them in a controlled environment against the new model, comparing metrics such as accuracy, tone, and latency to identify regressions.

QWhat platforms does Cekura integrate with?

Cekura can directly integrate with a range of mainstream conversational AI platforms and toolchains, including Synthflow, Bland, Vapi, Retell, Cisco, LiveKit, Pipecat, ElevenLabs.

QHow long does it take to test with Cekura?

With its parallel invocation capability and prebuilt test scenario library, Cekura can complete tests in minutes and generate actionable evaluation reports, dramatically shortening traditional manual testing timelines by weeks.

QWhat types of AI bots is Cekura suitable for testing?

Cekura's testing methodology covers three categories of bots: rule-based bots, AI-driven bots (machine-learning powered), and LLM-driven complex agents, with special design focus on multi-turn dialogues and contextual memory.

QHow does Cekura help teams conduct manual reviews?

The platform provides an intuitive interface for teams to directly annotate, rank, and validate test results across different versions, facilitating manual review of performance trade-offs and automatically flagging declines in accuracy or reliability.

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