What is Cekura?
Cekura is an end-to-end automated QA and observability platform purpose-built for Voice AI and Chat AI agents. Designed for teams deploying conversational AI in production, Cekura enables rapid pre-production testing with diverse synthetic personas—such as different accents, genders, and emotional tones—to simulate real-world interactions. You can test how your agent handles outbound calls, interruptions, off-script users, and critical flows like cancellations or follow-ups, all before going live. Once in production, Cekura provides continuous monitoring of live conversations, tracking voice-specific quality signals including gibberish detection, interruption tracking, latency, sentiment, and pitch. Its Labs feature lets you tune evaluation prompts against actual call recordings: edit, replay, and score until your LLM judges match ground truth. Build custom dashboards with plot layouts for duration trends, sentiment, drop-off, and success rates, filtered by agent or date. Set instant notifications via Slack, email, or webhooks for errors, failures, and performance drops. Cekura also offers deep conversation analytics to identify bottlenecks and optimize agent performance. Use cases span healthcare, technology, AI automation, and any industry relying on conversational AI. Key technical details: launch in minutes, not weeks; supports outbound and inbound calls; integrates with existing LLM pipelines; provides purpose-built signals for voice that run automatically on every call. Cekura is backed by Y Combinator and was #1 on Product Hunt. Whether you need to validate prompt changes, catch missing disclaimers, or monitor production quality at scale, Cekura delivers actionable insights to continuously improve your conversational AI.
Use Cases
Key Features
synthetic persona testing pre production QA live conversation monitoring gibberish detection interruption tracking sentiment analysis latency tracking custom dashboards instant notifications conversation analyticsWho is it for?
Voice AI teams, Chat AI teams, QA engineers, product managers, conversational AI developers, customer experience teams, AI product owners
