Coval
Coval is an advanced AI agent simulation and evaluation platform that accelerates development and enhances reliability.
About Coval
Coval provides a comprehensive platform for simulating and evaluating AI voice and chat agents. It enables developers to create custom metrics, run extensive scenario simulations, trace workflows, and integrate seamlessly with CI/CD pipelines. With Coval, users can monitor agent performance at scale, test conversational flows with customizable voices, and analyze real-time production calls to optimize AI agent reliability and user experience. Its powerful tools facilitate continuous improvement through detailed monitoring and performance insights.
How to Use
Utilize Coval by creating conversation scenarios with prompts, transcripts, workflows, or audio files. Measure agent performance using built-in or custom metrics, track regressions, compare results, and incorporate human feedback. Monitor live production calls, set alerts, and analyze performance data for ongoing optimization.
Features
- Regression Monitoring
- AI-Driven Conversation Simulations
- Voice AI Compatibility and Testing
- Real-Time Production Call Monitoring
- Custom Metrics and Performance Tracking
Use Cases
- Monitor and analyze live voice and chat conversations.
- Evaluate and improve agent performance using custom metrics.
- Simulate diverse conversation scenarios for testing.
- Integrate testing workflows into CI/CD pipelines.
- Trace and troubleshoot AI workflows in production.
Best For
Pros
- Enables tailored metrics for specific testing needs.
- Supports large-scale simulation and testing of AI agents.
- Provides detailed monitoring from development to deployment.
- Integrates smoothly with existing CI/CD workflows.
- Speeds up development of reliable voice and chat solutions.
Cons
- May have a learning curve for new users due to platform complexity.
- Requires some expertise in AI development and testing processes.
- Pricing details are not publicly available.