Coval: AI agent simulation and evaluation platform for faster, reliable development.
What is Coval?
Coval is a simulation and evaluation platform designed for developers, aimed at helping them build reliable voice and chat agents more quickly. It provides tools for creating custom metrics, running thousands of scenarios, tracking workflows, and integrating with CI/CD pipelines, all in order to gain actionable insights and optimize the performance of these agents. Coval enables users to test, monitor, and optimize their AI agents on a large scale, simulating conversations in environments with customizable voices and settings. It also offers features for monitoring actual production calls, setting up alerts, and analyzing performance data to further improve the effectiveness of AI agents.
How to use Coval?
Simulate conversations by utilizing prompts, transcripts, workflows, or audio inputs. Evaluate the performance of agents using built-in or custom metrics. Track regression trends, compare results, and integrate human-generated labels into the evaluation process. Monitor actual production calls, set up alerts, and analyze overall performance.
The core functions of Coval
AI-driven simulation
Voice AI compatibility
Customizable metrics
Production monitoring
regression tracking