It is a simulation and evaluation platform designed to test and optimize AI voice and chat agents by leveraging advanced testing methodologies originally developed for self-driving car technology.
It is a simulation and evaluation platform designed to test and optimize AI voice and chat agents by leveraging advanced testing methodologies originally developed for self-driving car technology. Coval enables users to simulate thousands of conversational scenarios using prompts, transcripts, workflows, or audio inputs, with customizable voices and environments for comprehensive testing. The platform evaluates agent performance using built-in metrics such as latency, accuracy, tool-call effectiveness, and instruction compliance, or allows users to define custom metrics tailored to their specific needs.
Coval’s system is built by experts with a background in autonomous testing, including experience from Waymo, ensuring robust and scalable infrastructure. It allows users to compare evaluation results with transcripts and audio replays, re-simulate prompt changes, set performance alerts, and incorporate human-in-the-loop labeling for continuous improvement. The platform also logs all production calls, evaluates live performance, and provides instant alerts for performance thresholds or off-path behavior, enabling users to optimize their AI agents efficiently.
With seamless integrations and intuitive workflows, Coval helps businesses ship reliable AI agents faster by reducing manual testing efforts. It supports both text and voice-based interactions, making it versatile for various applications. The platform’s developer-first design and focus on metrics that matter ensure it aligns with business outcomes, making it a valuable tool for companies deploying conversational AI solutions.
It is a simulation and evaluation platform designed to test and optimize AI voice and chat agents by leveraging advanced testing methodologies originally developed for self-driving car technology.
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