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Elixir
Automated Testing & Call Review for AI Voice Agents

Elixir
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Home: https://tryelixir.ai

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What is Elixir?

Elixir provides a robust platform for ensuring the reliability and performance of AI voice agents in production environments. The platform enables organizations to simulate realistic test calls, automatically analyze conversations, and identify potential issues through a comprehensive suite of monitoring and analytics tools.

The platform combines audio snippets, LLM traces, and call transcripts in a unified interface, allowing teams to track key metrics, detect anomalies in real-time, and streamline the manual review process through automated call grading and sophisticated testing capabilities.

Features

  • Monitoring & Analytics: Real-time tracking of call metrics and agent performance
  • Tracing System: Detailed debugging with audio snippets and LLM traces
  • Auto-grading: Automated call review and scoring system
  • Test Simulation: Capability to simulate thousands of test calls
  • Dataset Management: Comprehensive scenario testing and edge case handling
  • Integration Support: Compatible with major LLM providers, vector DBs, and voice technologies

Use Cases

  • Voice Agent Testing
  • Call Quality Monitoring
  • Performance Analytics
  • Conversation Debugging
  • Agent Training Improvement
  • Production Environment Testing

FAQs

  • What types of integrations does Elixir support?
    Elixir integrates with various LLM providers, Vector DBs, Frameworks, Telephony & WebRTC systems, and Transcription & Voice services.
  • How does the auto-grading system work?
    The system allows users to define use-case specific success metrics and scoring rubrics, automatically triages poor conversations for manual review, and improves accuracy through human-in-the-loop feedback.
  • What monitoring capabilities does Elixir offer?
    Elixir monitors interruptions, transcription errors, tool calls, user frustrations, and other metrics while providing real-time anomaly detection with Slack notifications for critical concerns.

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