Cekura
Streamlines quality assurance, testing, and monitoring for conversational AI voice agents throughout their entire lifecycle.
About Cekura
Cekura empowers conversational AI teams to automate quality assurance (QA) across every phase of the agent lifecycle. From pre-production simulation and evaluation to real-time monitoring of live calls, it integrates effortlessly into CI/CD workflows. This ensures consistent quality, reliability, and seamless user experiences for AI voice agents. With Cekura, you can efficiently test, monitor, and optimize your AI voice solutions, enabling rapid deployment and superior conversational performance.
How to Use
Users can evaluate AI voice agents by simulating diverse scenarios using AI-generated and custom datasets, workflows, and personas. The platform provides real audio for testing and custom metrics for evaluation. For ongoing monitoring, Cekura offers real-time insights, detailed logs, trend analysis, and instant alerts for errors or performance issues. Users can replay real conversations and oversee all calls through a user-friendly dashboard for continuous optimization.
Features
- Automated quality assurance for AI voice agents
- Customizable evaluation metrics for precise testing
- Scenario testing with AI-generated and custom datasets
- Seamless integration with CI/CD pipelines
- Supports diverse conversational scenarios and personalities
- Create datasets using workflows, personas, and real audio
- Monitor production calls for ongoing performance
- Intuitive dashboard for performance insights
- Instant alerts for errors and performance drops
- Real-time observability with detailed logs and trend analysis
- Pre-production simulation and comprehensive evaluation
Use Cases
- Real-time monitoring of AI voice agent performance
- Reducing latency and improving accuracy of voice agents
- Ensuring consistent conversational quality across scenarios
- Testing AI agents for customer service, sales, and support
- Automating QA for AI-driven customer onboarding and feedback
- Supporting non-technical teams with reliable AI testing
- Pre-launch validation of AI voice agents before deployment
Best For
Pros
- Ensures consistent quality and reliable performance of AI voice agents.
- Supports testing with both AI-generated and custom datasets, workflows, and real audio.
- Backed by Y Combinator and SOC2 Type 2 compliance for security and reliability.
- Provides instant notifications for errors and performance issues.
- Integrates smoothly into CI/CD workflows for continuous improvement.
- Offers real-time insights, detailed logs, and trend analysis to optimize performance.
- Automates QA processes across all stages, saving time and effort.
- Supports extensive scenario testing with parallel calls.
- Dedicated support team praised for quick issue resolution.
- Ideal for industries with strict compliance requirements due to thorough testing capabilities.
- Enables comprehensive pre-production testing and simulation.
- Provides robust monitoring and observability for live calls.
- Delivers actionable evaluation results within minutes.
- Helps improve voice response latency and speech accuracy.
Cons
- No specific disadvantages are noted on the official website.