What is Roark?
Roark is a comprehensive testing and evaluation platform for voice AI agents, designed to catch issues before they impact real users. It works by simulating your voice agent against hundreds of realistic scenarios before launch, then scoring every production call on over 64 audio-native metrics. This dual approach ensures you catch what breaks, prove the fix in simulation, and ship with evidence.
Key features include pre-launch simulation with hundreds of simulated callers—from angry customers to ramblers and interrupters—each built from your real call types. These simulations incorporate native accents, code-switching, and background noise to mirror your actual market conditions. Roark also handles peak-volume concurrency and provides always-on health checks, so your agent survives launch day. Every prompt or model change runs the full simulation suite before merging, acting as quality gates for conversations, not just code.
In production, Roark scores every live call automatically, filing issues when metrics fall below thresholds. For example, it can detect compliance failures like identity verification gaps in refund requests. You can then replay your fix against realistic simulated callers, with every change explicit and diffed. Once you ship, Roark confirms the metric improved on live calls, closing the loop.
Use cases span industries: support and sales teams score calls for pronunciation, empathy, and resolution; healthcare organizations evaluate disclosures and identity checks for compliance; client-facing teams validate agents in simulation before going live, providing evidence that a build is ready, not a hunch.
Roark integrates seamlessly with Vapi, Retell, LiveKit, Pipecat, and your custom stack. It is designed for teams that need rigorous, automated testing to maintain high-quality voice AI interactions.
Use Cases
Key Features
pre launch simulation realistic caller scenarios 64 audio native metrics production call scoring compliance failure detection quality gates for conversations peak volume concurrency testing always on health checksWho is it for?
voice AI developers, QA engineers, product managers, compliance teams, conversational AI teams, voice platform engineers
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