Coval

Testing a voice or chat agent by phoning it yourself and hoping nothing breaks does not scale, and Coval exists to replace that routine.

Coval is an AI agent simulation and evaluation platform that lets developers test voice and chat agents by running thousands of simulated conversations before and after launch.

You can set custom voices and environments for those simulations, so the agent gets tried against different callers and conditions rather than a handful of scripted cases.

You define your own metrics to score results, and tracing lets you follow a workflow step by step to see where an agent went wrong.

Coval also connects to CI/CD pipelines, which means tests can run whenever you ship a change.

Once an agent is live, the platform monitors production calls, lets you set alerts, and analyzes performance so you can keep tuning the agent over time.

The focus is squarely on developers building conversational agents, including call center and voice assistant setups.

It is a testing and monitoring layer, not an agent builder itself.