Top tools for evaluating voice agents in

Voice AI technology is advancing rapidly, with companies deploying agents for tasks such as booking appointments and handling support calls, yet the main challenge now lies in testing these agents at scale. Traditional manual testing methods falter when voice agents, which face unique issues like accents, background noise, and real-time conversation dynamics, handle thousands of daily interactions. Voice agent evaluation encompasses testing and improving conversational AI's handling of audio input and output, involving both offline pre-deployment testing and online evaluations during live production. The complexity of voice interactions, including latency sensitivity and the impact of user tone or interruptions, necessitates sophisticated evaluation tools. There are specialized voice evaluation platforms like Roark, Hamming, Coval, and Evalion, which focus on realistic simulations and voice-specific challenges, while general AI evaluation platforms like Braintrust provide broader support for text, audio, and multimodal AI but rely on partner integrations for voice simulation. Evaluation criteria include simulation capabilities, voice-specific metrics, and integration with workflows, and tools like Braintrust offer features such as audio attachments for debugging, custom scorers for latency and conversation flow, and integration with Evalion for realistic caller simulations.