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Automated Testing & Call Review for your AI Voice Agent
Elixir ensures your voice agent is reliable and works as expected in production.
Simulate realistic test calls. Automatically analyze conversations and identify mistakes. Debug issues with audio snippets, call transcripts, and LLM traces all in one platform.
The AI Ops & QA platform built for multimodal, audio-first experiences
Start monitoring instantly...
MONITORING & ANALYTICS
Track call metrics & identify mistakes at scale
Measure agent performance – interruptions, transcription errors, tool calls, user frustrations and more out of the box metrics
Find patterns between agent mistakes and user behavior
Detect anomalies in real time and receive Slack notifications for critical concerns
TRACING
Debug issues quickly with the help of audio snippets, LLM traces, and transcripts
Detailed traces for complex abstractions: RAG, Tools, Chains & more
Play back audio snippets to hear user <> agent dialog and identify performance bottlenecks
Listen to focused call sections to speed up review
SCORE & REVIEW
Streamline your manual review process with call auto-grading
Define use-case specific success metrics & scoring rubric for your conversational system
Automatically triage "bad" conversations to a manual review queue
Provide human-in-the-loop feedback to improve auto-scoring accuracy
TESTING & SIMULATION
Simulate 1000s of calls to your agent for full test coverage
Configure language, accent, pauses, tone to test agent on realistic cases
No more manual testing. Run auto-tests every time you make a significant change
Train testing agent on real conversation data to mimic users
MONITORING & ANALYTICS
Track core metrics & identify mistakes at scale
Measure agent performance – interruptions, transcription errors, tool calls, user frustrations and more out of the box metrics
Find patterns between agent mistakes and user behavior
Set thresholds and receive Slack alerts for critical concerns
TRACING
Debug issues quickly with the help of audio snippets, LLM traces, and transcripts
Detailed traces for complex abstractions: RAG, Tools, Chains & more
Play back audio snippets to hear user <> agent dialog and identify performance bottlenecks
Listen to focused call sections to speed up review
SCORE & REVIEW
Streamline your manual review process with call auto-grading
Define use-case specific success metrics & scoring rubric for your conversational system
Automatically triage "bad" conversations to a manual review queue
Provide human-in-the-loop feedback to improve auto-scoring accuracy
DATASET
Test your agent on a comprehensive dataset of scenarios
Save edge cases that came up in real conversations
Simulate new prompt iterations on your datasets before deploying
Use datasets for fine tuning, few shot, or prompt improvements
MONITORING & ANALYTICS
Track core metrics & identify mistakes at scale
Measure agent performance – interruptions, transcription errors, tool calls, user frustrations and more out of the box metrics
Find patterns between agent mistakes and user behavior
Set thresholds and receive Slack alerts for critical concerns
TRACING
Debug issues quickly with the help of audio snippets, LLM traces, and transcripts
Detailed traces for complex abstractions: RAG, Tools, Chains & more
Play back audio snippets to hear user <> agent dialog and identify performance bottlenecks
Listen to focused call sections to speed up review
SCORE & REVIEW
Streamline your manual review process with call auto-grading
Define use-case specific success metrics & scoring rubric for your conversational system
Automatically triage "bad" conversations to a manual review queue
Provide human-in-the-loop feedback to improve auto-scoring accuracy
DATASET
Test your agent on a comprehensive dataset of scenarios
Save edge cases that came up in real conversations
Simulate new prompt iterations on your datasets before deploying
Use datasets for fine tuning, few shot, or prompt improvements
TESTING & SIMULATION
Simulate 1000s of calls to your agent for full test coverage
No more manual testing. Run auto-tests every time you make a significant change.
TESTIMONIALS
Elixir is the only LLM observability product on the market we've found that works well for voice first products.
Josh Singer
Co-founder, Eigen
The Elixir team has been an incredible thought partner in helping us navigate how to build a reliable voice agent.
Elixir is truly at the cutting edge of voice AI. They understand all the challenges with building and monitoring voice agents.
Sean O'Bannon
CTO, ReMatter
INTEGRATIONS