Coval

In plain words

Coval is a developer tool for building and testing voice and chat AI agents through simulation and evaluation. It enables developers to create custom metrics, run thousands of test scenarios, trace agent workflows, and integrate testing into CI/CD pipelines. The platform provides actionable insights to optimize agent performance before deployment. It is designed for developers building conversational AI applications who need systematic testing capabilities.

written from the facts on this page · September 2026

From the sources

Coval helps developers build reliable voice and chat agents faster with seamless simulation and evals. Create custom metrics, run 1000s of scenarios, trace workflows and integrate with CI/CD pipelines for actionable insights and peak agent performance.

Coval helps teams prove voice agents are ready with voice AI testing, production evals, and human QA across the full agent lifecycle.

Coval gives teams the voice AI testing, evals, and QA loop to prove what works before launch, catch failures in production, and keep improving agent performance. Trusted by teams putting voice AI in front of millions of customers. Voice AI testing matters most in the moments demos avoid: noisy callers, missing context, policy traps, tool errors, and releases that change behavior overnight. A handful of manual QA calls will not reveal the accents, interruptions, policy traps, and edge cases that decide whether a voice agent holds up. Prompts, models, workflows, and vendors keep moving. Regression testing keeps yesterday's fix from becoming tomorrow's failure. Coval gives product, QA,…from coval.ai

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