Roark is a QA + Observability Layer for Voice AI, designed to help teams ship reliable voice agents. It provides comprehensive tools for monitoring live calls, running simulations at scale, and transforming call failures into repeatable tests. Roark tracks over 40 built-in call metrics, offers multi-speaker analysis, and enables on-demand or automated evaluations. For pre-deployment, it allows stress-testing agents with simulated callers across various accents, languages, and speaking styles, using graph-based scenarios and configurable personas. Roark also features one-click native integrations with popular voice platforms like VAPI, Retell, LiveKit, and Pipecat Cloud.
QA and observability platform for reliable Voice AI agents.
- Monitor live voice interactions for performance, sentiment, and compliance.
- Stress-test voice agents with simulated callers across diverse scenarios before deployment.
- Automatically generate test cases from failed production calls to prevent regressions.
- Ensure HIPAA compliance and instruction-following for voice agents.
- Track and analyze key call metrics like latency, repetition, and custom events in real-time.
- Users integrate Roark with their voice platforms using one-click setups or SDKs to automatically capture call data. They can then monitor live calls
- track 40+ metrics
- analyze multi-speaker conversations
- and run evaluators for compliance or instruction-following. For testing
- users define conversation flows with a graph editor
- configure diverse personas
- and run end-to-end simulations. Failed production calls can be automatically converted into new test cases to ensure continuous improvement.
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