Cekura

Testing and Observability for AI Voice Agents Testing: Scenario Generation: Creates varied test cases from agent descriptions for comprehensive coverage. Custom Personas: Emulates diverse user types with varied accents, background noise, and conversational styles. Evaluation Metrics: Track custom, AI-generated, and critical workflow performance metrics. Observability: Call Analytics: Provides call volume, ringing duration, success rate, interruptions, customer sentiment and agent latency analytics.

Instruction Analysis: Identifies and prioritizes instances where agents fail to follow instructions. Drop-off Tracking: Analyzes when and why users abandon calls, highlighting areas of improvement. Call End Reasons: Tracks causes for call terminations, identifying areas of concern. Custom Metrics: Allows users to define unique metrics for personalized call analysis. Alerting: Proactively notifies users of critical issues like latency spikes or missed functions.