What is Coval?
Coval is a platform designed for rigorous testing and evaluation of AI-powered voice and chat agents. Built by experts in autonomous testing, drawing upon a decade of experience in self-driving car simulation, Coval offers a robust solution for ensuring agent reliability.
The platform allows users to simulate thousands of conversational scenarios, evaluate agent performance using various metrics, and track regressions. Coval supports both text and voice interactions, providing a comprehensive environment for developing, testing, and monitoring AI agents from development to production.
Features
- AI-Powered Simulations: Generates test cases by interacting with your agent.
- Voice AI Compatible: Supports testing via voice interactions.
- Conversation Simulation: Simulate agent conversations with customizable voices and environments.
- Performance Evaluation: Evaluate with built-in and custom metrics.
- Regression Tracking: Compare results, re-simulate changes, and set performance alerts.
- Production Monitoring: Log and evaluate live performance of production calls.
- Alert Definition: Get instant alerts for performance thresholds or off-path behavior.
- Performance Analysis: Review runs & trace workflows to optimize your AI agents.
Use Cases
- Testing new AI agent deployments
- Evaluating the performance of voice assistants
- Monitoring the behavior of chatbots in production
- Improving the accuracy and reliability of conversational AI
- Debugging and optimizing AI agent workflows
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