Roark automatically tests, monitors, and analyzes voice AI interactions to detect errors, safety issues, and quality problems before deployment to production.
Roark is a quality and safety platform designed specifically for voice AI applications. It helps teams detect, analyze, and prevent problematic behaviors in voice agents before they reach end users, reducing risk and improving reliability. By continuously monitoring interactions, Roark gives organizations clear visibility into how their voice systems perform in real-world scenarios and under edge conditions.
Roark provides automated evaluation of voice AI outputs against safety, compliance, and brand guidelines, allowing teams to systematically identify “uh-oh” moments such as inappropriate responses, hallucinations, or broken flows. It supports test scenario generation, regression testing, and scenario replay so teams can quickly reproduce and diagnose issues. The platform offers dashboards, alerts, and detailed analytics to track model performance over time, highlight patterns of failure, and prioritize fixes. Integration with existing development and deployment workflows enables continuous testing as models, prompts, and policies evolve.
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