Overview
Coval is an AI agent testing and simulation platform that leverages decade-long autonomous vehicle testing expertise to help developers build and deploy reliable conversational AI systems with unprecedented efficiency.
Key Features
- Comprehensive AI Agent Simulation
- Generate test scenarios from prompts, transcripts, workflows
- Customizable voices and environments
- Advanced performance evaluation metrics
- Production Monitoring
- Log and track live agent performance
- Real-time performance alerts
- Workflow tracing and optimization
- Developer-Friendly Design
- Seamless integrations
- Intuitive testing workflows
- Voice and text agent compatibility
Use Cases
- Voice AI development and testing
- Chatbot performance optimization
- Enterprise conversational AI quality assurance
- AI agent reliability validation
- Production monitoring for intelligent systems
Technical Specifications
- Supports multiple input types (text, audio, workflows)
- Built on Waymo's autonomous testing infrastructure
- Metrics include latency, accuracy, tool-call effectiveness
- Customizable evaluation parameters
- Compatible with major AI development platforms