Coval

Coval is the ultimate AI agent testing platform, offering powerful simulation and evaluation tools for voice and chat assistants. Built by autonomous testing experts, Coval helps developers simulate thousands of scenarios, track performance metrics, and optimize AI agents with ease. Say goodbye to manual testing—deploy reliable, production-ready conversational AI faster with Coval.

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Coval

Published:

2025-03-14

Created:

2025-04-26

Last Modified:

2025-04-26

Published:

2025-03-14

Created:

2025-04-26

Last Modified:

2025-04-26

Coval Product Information

What is Coval?

Coval is an AI-powered simulation and evaluation platform designed to test, monitor, and optimize conversational AI agents (voice and chat). It automates testing by simulating thousands of scenarios, providing performance metrics, and tracking regressions to ensure reliable AI agent deployments.

Who will use Coval?

Coval is ideal for AI developers, product teams, and QA engineers building or managing voice and chat agents. Companies deploying conversational AI in customer service, virtual assistants, or other interactive applications will benefit from Coval’s automated testing and performance monitoring tools.

How to use Coval?

  • Simulate conversations by uploading prompts, transcripts, or audio inputs with customizable environments.
  • Launch evaluations using built-in or custom metrics like latency and accuracy.
  • Track regressions by comparing results, replaying audio, and setting performance alerts.
  • Monitor live production calls and analyze workflows for continuous optimization.

In what environments or scenarios is Coval suitable?

Coval excels in testing AI agents for customer support bots, voice assistants, and chat-based applications. It’s suited for pre-launch validation, post-deployment monitoring, and performance optimization in industries like healthcare, e-commerce, and telecom where conversational AI reliability is critical.

Coval Features & Benefits

What are the core features of Coval?

  • AI-powered simulations to generate test cases for conversational agents.
  • Voice AI compatibility for testing both voice and text-based interactions.
  • Customizable evaluation metrics, including latency, accuracy, and tool-call effectiveness.
  • Regression tracking with performance alerts and human-in-the-loop labeling.
  • Production monitoring with live-performance evaluation and instant alerts.

What are the benefits of using Coval?

  • Saves time by automating thousands of test scenarios from a few prompts.
  • Improves agent reliability with advanced simulation and evaluation tools.
  • Offers seamless integrations and developer-first workflows for faster deployment.
  • Provides actionable insights with performance tracking and regression analysis.
  • Reduces manual testing efforts with AI-powered environment simulations.

What is the core purpose and selling point of Coval?

  • Simplifies testing and optimization of AI voice and chat agents at scale.
  • Leverages Waymo-proven autonomous testing technology for conversational AI.
  • Enables rapid deployment of production-ready agents with minimal manual effort.
  • Focuses on customizable metrics tailored to business outcomes.
  • Combines simulation, evaluation, and monitoring in one developer-friendly platform.

What are typical use cases for Coval?

  • Testing voice AI agents for call centers or virtual assistants.
  • Evaluating chat-based customer support bots for accuracy and compliance.
  • Monitoring production performance of conversational AI in real-time.
  • Optimizing agent workflows with regression analysis and prompt refinements.
  • Scaling reliable AI deployments with automated simulation and alerts.

FAQs about Coval

What is Coval and what does it do?

Coval is a simulation and evaluation platform designed for AI voice and chat agents. It helps developers test, monitor, and optimize conversational AI agents at scale. Coval simulates thousands of scenarios from a few test cases, evaluates performance using built-in or custom metrics, and tracks regressions to ensure reliable agent behavior.

How does Coval simulate conversations for AI agents?

Coval simulates agent conversations using scenario prompts, transcripts, workflows, or audio inputs. It offers customizable voices and environments for advanced testing, allowing developers to test their AI agents from all directions without manual effort.

Can Coval test voice AI agents as well as text-based ones?

Yes, Coval is fully compatible with voice AI agents. The platform can call your agent via voice just as easily as text, making it ideal for testing both voice and chat-based conversational AI solutions.

What kind of metrics does Coval provide for evaluating AI agents?

Coval offers a range of built-in metrics including latency, accuracy, tool-call effectiveness, and instruction compliance. It also supports custom-built metrics tailored to your specific needs, helping you measure what matters most for your business outcomes.

How does Coval help with production monitoring of AI agents?

Coval logs all production calls and evaluates live performance. You can define alerts for performance thresholds or off-path behavior, and analyze runs to trace workflows and optimize your AI agents in production environments.

What makes Coval different from other AI testing platforms?

Coval stands out with its decade of research in self-driving technology applied to conversational AI. Built on proven foundations from Waymo, it offers developer-first design, comprehensive simulation capabilities, and metrics that truly matter for AI agent performance.

Can Coval help identify performance regressions in AI agents?

Yes, Coval helps track regressions by comparing evaluation results with transcripts and audio replays. You can re-simulate prompt changes, set performance alerts, and incorporate human-in-the-loop labeling to maintain consistent agent performance.

How does Coval save time in AI agent development?

Coval dramatically reduces testing time by automatically generating thousands of test cases from a few scenarios. Instead of manual testing, developers can quickly simulate diverse environments and evaluate agent behavior at scale, accelerating the development cycle.

What types of AI agents is Coval best suited for?

Coval is ideal for both voice and chat-based conversational AI agents across various industries. It's particularly valuable for complex agents that require rigorous testing, such as customer service bots, voice assistants, and other AI-powered communication tools.

Can I set custom alerts in Coval for my AI agents?

Yes, Coval allows you to define custom alerts for performance thresholds or off-path behavior. This feature helps you stay informed about your AI agent's performance and quickly address any issues that may arise during operation.

Coval Company Information

Company Name:

Coval

Analytics of Coval

Traffic Statistics


10.8K

Monthly Visits

2.6

Pages Per Visit

49.23%

Bounce Rate

47

Avg Time On Site

Monthly Visits


User Country Distribution


Top 5 Regions

US

62.74%

IN

10.05%

AU

9.61%

ID

6.89%

CA

4.34%

Traffic Sources


Social

9.36%

Paid Referrals

0.97%

Mail

0.07%

Referrals

11.87%

Search

17.02%

Direct

60.65%

Top Keywords


KeywordSearch VolumeCost Per ClickEstimated Value
coval6.3K$1.79$673
coval. dev--$--$143
coval ai720$2.79$11
coval ai agents40$--$9
coval voice agent testing20$--$8

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