Cekura
PaidAutomated QA for Voice AI and Chat AI Agents
About Cekura
Cekura enables Conversational AI teams to automate Quality Assurance (QA) across the entire agent lifecycle, from pre-production simulation and evaluation to monitoring of production calls. It supports seamless integration into CI/CD pipelines, ensuring consistent quality and reliability at every stage of development and deployment for AI voice agents. Cekura helps test and monitor AI voice agents with ease, allowing users to launch agents in minutes by ensuring they deliver a seamless experience in every conversational scenario.
How to Use
Users can test their AI voice agents by simulating scenarios with AI-generated and custom datasets, using workflows, personas, and real audio to create datasets and evaluate them on their own metrics. For observability, Cekura provides real-time insights, detailed logs, and trend analysis for optimal performance, along with instant notifications for errors and performance drops. The platform also allows replaying real conversations and monitoring every call through an intuitive dashboard.
Key Features
- Automated QA for Conversational AI agents
- Pre-production simulation and evaluation
- Monitoring of production calls
- Seamless CI/CD pipeline integration
- Testing with AI-generated and custom datasets
- Workflow, persona, and real audio-based dataset creation
- Actionable evaluation with custom metrics
- Real-time insights and detailed logs (Observability)
- Instant alerting for errors and performance drops
- Intuitive performance dashboard
- Support for various conversational scenarios and personalities
Use Cases
- Ensuring AI voice agents deliver seamless experiences in every conversational scenario.
- Automating QA for AI agents in customer support, outbound sales, clinic reception, debt collection, and recruitment.
- Monitoring the quality of AI voice agents in real-time.
- Aggressively testing AI agents before shipping to production.
- Optimizing voice agent latency and boosting accuracy.
- Providing testing and reliability assurance for non-tech-savvy enterprise customers.
- Testing AI agents for home services, AI coaching, legal intake, customer onboarding, and feedback collection.
Key Features
Pros & Cons
- Comprehensive QA covering pre-production simulation and production monitoring.
- Library of thousands of pre-built scenarios speeds up testing.
- Integrates with major voice AI platforms and CI/CD pipelines.
- Real-time observability with voice-specific quality signals.
- Instant alerts via Slack, email, or webhooks for errors and performance drops.
- Ability to tune LLM judges against real call recordings.
- Supports custom scenarios, personas, and audio datasets.
- Flow analysis and user insights help identify root causes of failures.
- No permanent free tier; only a 7-day free trial available.
- Pricing for enterprise is custom and not publicly listed.
- Advanced features like load testing, red teaming, and fine-tuned metrics are only in enterprise plan.
- Focus is heavily on voice AI; chat AI support may be less comprehensive.
- Limited log retention on the Developer plan (30 days).
- Custom integrations may require enterprise plan and additional setup.
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