C

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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#336 in AI Agents (336 tools)
Added 0 year ago
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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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Key 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

Significantly reduces manual testing effort by automating scenario simulations.
Enables comprehensive testing of both voice and text-based AI agents.
Provides actionable insights through detailed performance metrics and alerts.
Built on proven autonomous testing infrastructure from Waymo, ensuring reliability.
Accelerates deployment of production-ready AI agents with developer-friendly tools.

Limitations

Pricing details and plans are not publicly available on the website.
No explicit mention of third-party integrations or API availability.

Frequently Asked Questions

What types of AI agents does Coval support?
Coval supports both voice and text-based conversational AI agents, allowing testing via voice calls or text interactions.
Can I customize the evaluation metrics?
Yes, Coval provides built-in metrics and also allows you to define custom metrics tailored to your specific needs.
Does Coval support monitoring of live production calls?
Yes, Coval can log all production calls and evaluate live performance to ensure your AI agents remain reliable in production.
Is there a free trial or demo available?
Yes, Coval offers a free demo to help you understand how the platform can benefit your AI agent testing and evaluation.

Getting Started

  1. 1 Step 1: Create scenario prompts, transcripts, workflows, or audio inputs to define test cases.
  2. 2 Step 2: Use Coval to simulate conversations with your AI agent across multiple environments and voices.
  3. 3 Step 3: Launch evaluations using built-in or custom metrics to assess agent performance.
  4. 4 Step 4: Monitor evaluation results, track regressions, and set performance alerts.
  5. 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

Available: No

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