✨ AI Summary
Cekura provides tools to observe and analyze voice and chat AI agents, offering over 30 predefined metrics for CX, accuracy, conversation, and voice quality. It enables the creation of LLM judges through annotation and features real-time dashboards and statistical alerts for trend identification and failure detection.
Best For
AI/ML Engineers, Product Managers, Customer Experience Teams
Why It Matters
Cekura helps teams monitor and improve the performance of their AI agents through comprehensive analysis and automated alerts.
Key Features
- Analyze voice and chat AI agents
- 30+ predefined metrics for CX, accuracy, and quality
- Compile LLM judges with minimal annotation
- Auto-improve AI agents in Cekura labs
Use Cases
- A customer support manager uses Cekura to monitor the performance of their chatbot, identifying specific conversation flows where customers frequently abandon the interaction, allowing for targeted improvements to the AI's responses and overall user experience.
- A product team leverages Cekura's voice quality metrics to assess the clarity and naturalness of their new voice assistant, ensuring a seamless and frustration-free interaction for end-users before a wider product launch.
- An AI developer utilizes Cekura's annotation tools to train and refine LLM judges, quickly creating a high-quality dataset from a small number of conversations to improve the accuracy and relevance of their AI agent's answers.