Roark: Platform for Testing and Monitoring Voice AI Agents
By
Garry Tan
Properly proved. Has structure, has flavour, has a point.
Summary
Roark is a platform for testing, monitoring, and improving voice AI agents. It addresses common challenges in voice agent development by providing comprehensive monitoring with 40+ built-in call metrics including latency, instruction-following, repetition detection, and sentiment analysis. The platform supports calls with up to 15 speakers with automatic identification and analyzes audio for emotion and vocal cues. Roark also stress-tests agents with simulated callers across different accents, languages, and speaking styles, turning failed calls into tests for continuous improvement.
Key quotes
· 5 pulledWe built Roark - a platform that brings reliability and visibility to Voice AI
Capture 40+ built-in call metrics and events (latency, instruction-following, repetition detections, sentiment, etc.)
Support for calls with up to 15 speakers, with automatic speaker identification
Analyze audio with models for emotion, vocal cues
Build voice agents you can trust. Roark tracks call metrics, runs evaluations, and stress-tests your agent
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