Agent

Coval

Coval: AI agent simulation and evaluation platform for faster, reliable development.

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Verdict

A quick read before you dig into the full page.

Best if
You are aI Developers and need: Simulate agent conversations using scenario prompts
Pick this when
Coval: AI agent simulation and evaluation platform for faster, reliable development

Overview

Coval is a simulation and evaluation platform designed to help developers build reliable voice and chat agents faster. It offers tools to create custom metrics, run thousands of scenarios, trace workflows, and integrate with CI/CD pipelines for actionable insights and peak agent performance. Coval allows users to test, monitor, and optimize their AI agents at scale, simulating conversations with customizable voices and environments. It also provides features for monitoring production calls, defining alerts, and analyzing performance to optimize AI agents.

Coval screenshot

Best for

Short scenarios where Coval tends to shine.

  • Simulate agent conversations using scenario prompts.

    Best for AI Developers

  • Evaluate agent performance with built-in metrics.

    Best for Conversation Designers

  • Monitor production calls and evaluate live performance.

    Best for QA Engineers

Example outputs 1

Sample generations and before/after results for Coval.

Access & connections

Where you can use Coval.

Platforms

Web

Capabilities

What this tool accepts, produces, and is strongest at.

Highlights

  • AI-Powered Simulations
  • Voice AI Compatibility
  • Customizable Metrics
  • Production Monitoring
  • Regression Tracking

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FAQ 5

What is Coval?
Coval is a simulation and evaluation platform designed to help developers build reliable voice and chat agents faster. It offers tools to create custom metrics, run thousands of scenarios, trace workflows, and integrate with CI/CD pipelines for actionable insights and peak agent performance. Coval allows users to test, monitor, and optimize their AI agents at scale, simulating conversations with customizable voices and environments. It also provides features for monitoring production calls, defining alerts, and analyzing performance to optimize AI agents.
How to use Coval?
Use Coval by simulating conversations using prompts, transcripts, workflows, or audio inputs. Evaluate agent performance with built-in or custom metrics. Track regressions, compare results, and incorporate human-in-the-loop labeling. Monitor production calls, define alerts, and analyze performance.
What can Coval do?
Coval helps developers build reliable voice and chat agents faster with seamless simulation and evals. Create custom metrics, run 1000s of scenarios, trace workflows and integrate with CI/CD pipelines for actionable insights and peak agent performance.
How does Coval simulate conversations?
Coval simulates agent conversations using scenario prompts, transcripts, workflows, or audio inputs, with customizable voices and environments for advanced testing.
How does Coval monitor production calls?
Coval logs all production calls & evaluates live-performance. Define your alerts and get instant alerts for performance thresholds or off-path behavior. Review your runs & trace workflows to optimize your AI agents.