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.
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.
Cekura can directly integrate with a range of mainstream conversational AI platforms and toolchains, including Synthflow, Bland, Vapi, Retell, Cisco, LiveKit, Pipecat, ElevenLabs.
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.
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.
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.
Secoda AI is an enterprise-grade, AI-powered data governance and intelligent discovery platform designed to centralize data assets, automate documentation, and manage metadata. It helps data teams improve data discovery, governance, and collaboration, enabling scalable data analytics.
Cekura AI Quality Assurance is an automated quality assurance platform focused on voice and chat AI agents. Through scalable testing and real-time monitoring, it helps enterprises boost the reliability of conversational AI and accelerate deployment.
