
A simulation and evaluation platform that automates testing for AI agents, enhancing reliability across chat, voice, and other modalities.
Coval is a platform designed to automate the simulation and evaluation of autonomous AI agents, facilitating the development of dependable assistants across various modalities, including chat and voice. By simulating thousands of scenarios, Coval enables engineers to identify and address potential issues without manual testing. Its continuous integration and continuous deployment (CI/CD) evaluations detect regressions automatically, streamlining the development process and ensuring consistent performance. Inspired by methodologies from the autonomous vehicle industry, Coval aims to boost test coverage, accelerate development, and validate the reliability of AI agents in real-world applications.
AI Agent Store research
Coval is best understood as agent observability and evaluation infrastructure. Coval helps teams prove voice agents are ready with voice AI testing, production evals, and human QA across the full agent lifecycle.
Last reviewed July 30, 2026
Coval helps teams prove voice agents are ready with voice AI testing, production evals, and human QA across the full agent lifecycle.[1]
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