What is Cekura?
Cekura is an end-to-end automated QA and observability platform designed for Voice AI and Chat AI agents. It enables teams to test conversational AI systems before going live and monitor production calls to ensure high-quality interactions. The platform supports pre-production simulations with diverse personas, allowing you to test how your agent handles various accents, tones, and scenarios, such as angry customers or off-script interruptions. You can quickly validate prompt changes on core user flows like cancellations, reschedules, or follow-ups, catching issues like missing disclaimers or failed tool calls before deployment.
In production, Cekura provides voice-specific quality signals including gibberish detection, interruption tracking, latency, sentiment, and pitch analysis, all running automatically on every call. Its Labs feature lets you tune LLM judges against real recordings by editing, replaying, and scoring until evaluations match ground truth. Custom dashboards allow you to build plot layouts for duration trends, sentiment, drop-off rates, and success metrics, filtered by agent or date. Instant notifications via Slack, email, or webhooks alert you to errors, failures, or performance drops based on configurable thresholds.
Cekura is ideal for teams building voice agents in healthcare, technology, AI automation, and customer support. Use cases include testing agent behavior across diverse user personas, monitoring conversation quality, and identifying bottlenecks in interaction flow. The platform is backed by Y Combinator and was #1 on Product Hunt. It promises launch in minutes, not weeks, with three simple steps to transform commands into action. Whether you're running pre-production simulations or monitoring live calls, Cekura provides the tools to continuously improve your conversational AI through intelligent feedback and deep analytics.
Use Cases
Key Features
pre production persona simulations prompt change validation gibberish detection interruption tracking latency analysis sentiment analysis pitch analysis custom dashboards instant notifications LLM judge tuningWho is it for?
QA engineers, voice AI teams, chatbot developers, product managers, customer experience teams, conversational AI startups
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