Coval

Coval is a tool designed to assist developers in building reliable voice and chat agents more efficiently through advanced simulation and evaluation capabilities. It enables the creation of custom metrics and the execution of thousands of scenarios to rigorously test AI agents. Coval supports both text and voice interactions, allowing developers to simulate environments and evaluate agents from multiple perspectives.

The platform provides comprehensive evaluations of agent interactions, tracking performance over time and identifying root causes of issues. Users can easily perform evaluations on any transcript, using built-in metrics or creating their own. Coval also offers workflow metrics for deep observability into the agent's behavior.

Setting up Coval involves creating test sets from customer transcripts or user intents, configuring simulators with prompts, and analyzing performance to optimize the agents. The tool integrates seamlessly with CI/CD pipelines, providing actionable insights for peak agent performance. Coval is available in different plans, catering to various usage needs and offering features like high evaluation limits, customization, and dedicated support.