coval
Coval is an AI-powered simulation and evaluation platform designed to test and optimize conversational AI agents, including voice and chat interfaces, by simulating thousands of scenarios and providing detailed performance metrics.
coval is ai agents software teams evaluate for ai agents. Use this page to review pricing, integration signals, and the best alternatives before you commit.
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Quick Overview
Best for: AI Agents
What it does
AI Agents software for decision-makers comparing workflow fit and alternatives.
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AI Agents
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coval
Coval is a platform built by experts in autonomous testing, leveraging a decade of research in self-driving technology to enhance the testing and evaluation of conversational AI agents. It enables users to simulate conversations using scenario prompts, transcripts, workflows, or audio inputs with customizable voices and environments. The platform supports both voice and text-based AI agents, allowing comprehensive testing from multiple angles. Coval provides built-in and customizable metrics to evaluate agent performance, helping teams monitor regressions, track live production calls, and set performance alerts. Its developer-first design ensures seamless integrations and intuitive workflows to accelerate the deployment of reliable AI agents.
Coval: AI agent simulation and evaluation platform for faster, reliable development.
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Claim this listingKey Features
AI-Powered Simulations
Automatically generate test cases by chatting with your AI agent, simulating thousands of scenarios from a few test prompts.
Voice AI Compatibility
Supports testing of voice agents by calling them via voice as easily as text-based interactions.
Customizable Simulation Environments
Simulate conversations using scenario prompts, transcripts, workflows, or audio inputs with customizable voices and environments.
Comprehensive Evaluation Metrics
Evaluate agent performance using built-in metrics such as latency, accuracy, tool-call effectiveness, and instruction compliance, or define custom metrics.
Regression Tracking
Compare evaluation results with transcripts and audio replays, re-simulate prompt changes, set performance alerts, and incorporate human-in-the-loop labeling.
Production Monitoring
Log all production calls and evaluate live performance to ensure ongoing reliability.
Performance Alerts
Define instant alerts for performance thresholds or off-path behavior to quickly identify issues.
Developer-First Design
Seamless integrations and intuitive workflows designed to help developers ship reliable agents faster.
Pricing
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Use Cases
Testing Conversational AI Agents
Simulate thousands of conversation scenarios to thoroughly test AI chat and voice agents before deployment.
Performance Evaluation
Use built-in and custom metrics to evaluate AI agent performance on latency, accuracy, and compliance.
Regression Analysis
Track changes in agent performance over time with transcript and audio replay comparisons and human-in-the-loop labeling.
Production Monitoring
Monitor live production calls to ensure AI agents perform reliably in real-world environments.
Alerting and Incident Response
Set up alerts for performance thresholds or unexpected behaviors to quickly respond to issues.
Integrations
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Benefits
Limitations
Frequently Asked Questions
What types of AI agents does Coval support?
Can I customize the evaluation metrics?
Does Coval support monitoring of live production calls?
Is there a free trial or demo available?
Getting Started
- 1 Step 1: Create scenario prompts, transcripts, workflows, or audio inputs to define test cases.
- 2 Step 2: Use Coval to simulate conversations with your AI agent across multiple environments and voices.
- 3 Step 3: Launch evaluations using built-in or custom metrics to assess agent performance.
- 4 Step 4: Monitor evaluation results, track regressions, and set performance alerts.
- 5 Step 5: Log and evaluate live production calls to maintain ongoing agent reliability.
Support
Contact Page
Reach out via the contact page on the Coval website for inquiries and support.
Documentation
Access product documentation through the Docs section on the website.
API
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