Roark is the QA + Observability Layer for Voice AI, built to help teams ship reliable and trustworthy voice agents. It provides complete visibility into every call with 40+ built-in metrics, multi-speaker analysis, and automated evaluators that track everything from latency and sentiment to instruction-following and compliance. With real-time dashboards, smart alerts, and scheduled reports, Roark ensures teams can monitor performance and catch issues before they impact users.
Beyond monitoring, Roark strengthens pre-deployment workflows with end-to-end simulations and stress testing. Teams can design graph-based conversation flows, configure diverse personas with different accents, speech patterns, and emotional states, and automatically convert failed production calls into new test cases. This makes it possible to validate voice agents across real-world scenarios and edge cases—ensuring improvements are tested, verified, and production-ready.
Roark integrates seamlessly with leading platforms like VAPI, Retell, LiveKit, and Pipecat Cloud, with one-click setup or SDKs for Node and Python. Trusted by companies like Radiant Graph, Podium, Aircall, and BrainCX, Roark has already processed over 10M+ minutes of calls. By combining observability, testing, and automation in a single platform, Roark gives Voice AI teams the confidence to deploy faster, scale smarter, and deliver consistently high-quality customer experiences.
