Coval

AI agent testing platform — simulate thousands of conversations to find and fix issues before deploying to customers.

Verified API available
Quick facts
What is it AI agent testing platform — simulate thousands of conversations to find and fix issues before deploying to customers.
Pricing Unknown
Platform Web Application
API Yes
Best for Stress-testing a new voice agent before launch, Catching performance regressions in live AI customer service
Domain registered 2014

Data updated Aug. 1, 2026

What does Coval do?

Coval is a specialized testing and monitoring platform built for teams developing AI-powered conversational agents. Its core function is to let you simulate thousands of realistic conversations—complete with different customer personas and edge cases—before you ever deploy your agent to real users. This helps you find failures in workflows, spot latency issues, and catch problematic behavior in a controlled environment, turning the 'black box' of an AI agent into something you can measure and manage.

It works by allowing you to define test scenarios and then run them at scale. You can observe key metrics like resolution rate, turn count, and audio duration, and even set up custom validations for specific actions. What makes Coval stand out is its focus on the pre-production phase, combined with the ability to also monitor live calls in production. This creates a continuous feedback loop where you can test rigorously, deploy with more confidence, and then watch for any performance drift once the agent is live.

This tool is a major benefit for any team shipping voice or chat agents where reliability and customer experience are critical. It's particularly useful for developers and product managers in customer support, sales, or any sector using AI for automated conversations. By using Coval, they can move faster, reduce the risk of public failures, and systematically improve the quality of their AI interactions.

#ai-agent-testing#conversational ai#performance monitoring#quality assurance#simulation#voice ai

Key features

What makes it stand out
01
Massively scale agent testing with simulated conversations
02
Monitor live production calls for performance drift
03
Validate results with built-in and custom metrics
04
Identify edge cases and workflow failures before launch
05
Provide a single, shared view of agent performance for teams

Who is Coval for?

Who benefits most from this tool
Stress-testing a new voice agent before launch
Catching performance regressions in live AI customer service
Validating agent behavior across thousands of simulated customer personas

Trust & presence

Domain Domain registered 2014

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