
Cekura
Testing and Monitoring Platform for Voice AI Agents

Description
Cekura (formerly Vocera) provides a comprehensive solution for testing and monitoring Voice AI agents, aiming to accelerate deployment from weeks to minutes. The platform enables developers to ensure their agents deliver a seamless experience across diverse conversational scenarios before launch and maintain optimal performance post-deployment. It focuses on eliminating the manual effort typically involved in testing voice interactions by offering automated simulation and evaluation capabilities.
The system allows users to test agents rigorously using AI-generated or custom datasets, incorporating specific workflows, personas, and real audio samples. Cekura facilitates the simulation of various scenarios, such as handling impatient users or verifying responses to specific prompts like appointment cancellations. It also supports replaying historical conversations to troubleshoot recurring issues. Key features include parallel calling for efficiency, observability through real-time insights and detailed logs, trend analysis for performance tracking, and instant alerting for errors or performance degradation, ensuring continuous improvement and reliability of voice AI applications.
Key Features
- Scenario Simulation: Test agents against diverse situations like prompt changes, impatient users, or interruptions.
- Custom Dataset Testing: Evaluate agents using AI-generated datasets or custom ones built with workflows, personas, and real audio.
- Parallel Calling: Run multiple tests simultaneously to speed up the evaluation process.
- Actionable Evaluation: Receive detailed performance feedback and evaluations based on custom metrics in minutes.
- Real Conversation Replay: Analyze and debug issues using recordings of past interactions.
- Compliance Monitoring: Automatically check if agents adhere to required compliance protocols.
- Real-time Observability: Monitor every call with live insights, detailed logs, and trend analysis.
- Performance Alerting: Get instant notifications for errors, failures, and performance drops.
- Intuitive Dashboard: Visualize performance data and make informed decisions for continuous improvement.
- Persona Simulation: Test agent interactions with various user personalities.
Use Cases
- Pre-launch testing of voice AI agents
- Automated regression testing for agent updates
- Continuous performance monitoring of production voice AI
- Automated compliance verification for voice interactions
- User experience optimization through scenario simulation
- Debugging specific conversational failures by replaying interactions
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