Coval
Automate testing for AI voice and chat agents
Target Audience
- AI developers building conversational agents
- Customer support automation teams
- Enterprise product managers deploying AI solutions
Hashtags
Overview
Coval helps developers test AI agents thoroughly without manual work. It simulates thousands of conversations and measures performance using metrics that matter. Works for both voice and text interfaces, helping teams deploy reliable AI assistants faster.
Key Features
AI Simulations
Generate test cases automatically through AI-powered conversations
Voice Testing
Test voice agents through actual phone calls and audio interactions
Custom Metrics
Track latency, accuracy, and business-specific performance indicators
Regression Tracking
Compare results across versions and set performance alerts
Production Monitoring
Evaluate live agent performance and analyze call logs
Use Cases
Test voice agent phone interactions
Evaluate chat bot conversation flows
Monitor live AI agent performance
Optimize customer support workflows
Ensure compliance with brand guidelines
Pros & Cons
Pros
- Proven technology from self-driving car simulation experts
- Supports both voice and text agent testing
- Customizable evaluation metrics
- Production environment monitoring
Cons
- Primarily targets enterprise users
Frequently Asked Questions
What types of AI agents does Coval support?
Coval supports both voice-based (phone call) and text-based chat agents
Can I create custom evaluation metrics?
Yes, Coval allows custom-built metrics alongside standard performance indicators
How does Coval simulate conversations?
Uses scenario prompts, transcripts, and audio inputs with customizable environments
Reviews for Coval
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