A platform for simulating and evaluating AI agents in controlled environments, enabling robust testing

Screenshot of Coval

About Coval

Coval is a platform inspired by autonomous vehicle techniques, designed to simulate and evaluate AI agents across modalities like chat and voice. It automates testing, enhancing coverage, speeding up development, and ensuring consistent performance. Coval addresses the challenges of manual testing, boosting reliability and efficiency for engineers working on advanced AI systems.

Agentic

Developer
Brooke Hopkins
Added
57 days ago

Analytics

210
Impressions
13
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5
Clicks

AI Agent Categories

Agent Development

AI agents that assist in the creation, design, and deployment of other AI agents. These agents help developers build, train, and optimize AI models, enabling the creation of intelligent agents for a wide range of applications, from automation to complex decision-making.

Software Development

Tools and agents specialized in code generation, software architecture, testing, and development automation. Includes autonomous coding assistants and development workflow automation.

Development Framework Agent

Tools and frameworks that enable the creation, deployment, and management of AI agents through standardized development patterns

AI Agent Platform

Comprehensive ecosystems designed to create, deploy, and manage AI agents capable of automating tasks and workflows. These platforms provide the tools, frameworks, and infrastructure necessary to build collaborative or independent agents, offering features like data integration, task orchestration, and human-in-the-loop support.

AI Framework

Agents and frameworks provide the underlying structures and tools for developing and deploying AI models and applications. These frameworks enable developers to build, train, and optimize machine learning models more efficiently, offering pre-built components for tasks like data processing, model training, and deployment.

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