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What is Coval?

Coval acts as a powerful platform designed for the simulation and assessment of AI agents, focusing on improving their dependability across multiple forms of interaction, such as voice and chat. It simplifies the testing process by enabling engineers to create thousands of scenarios from a limited number of test cases, ensuring comprehensive evaluations without manual intervention. Users can easily compile test sets by either utilizing customer conversations or expressing user intents in natural language, with Coval handling the formatting automatically. The platform supports both text and voice simulations, allowing for thorough testing of AI agents based on established scorecard metrics. It generates detailed evaluations of agent interactions that monitor performance trends over time and assist in conducting root cause analyses for specific issues. Furthermore, Coval offers workflow metrics that provide greater transparency into system operations, which is crucial for enhancing AI agent performance. This all-encompassing methodology not only streamlines the development cycle for AI technologies but also encourages continuous improvement and innovation within the field. Ultimately, Coval's approach strengthens the overall reliability of AI systems.

What is AgentHub?

AgentHub is a specialized staging platform meticulously crafted to simulate, monitor, and evaluate AI agents within a secure and private environment, ensuring reliable, swift, and precise deployment. With an intuitive setup process, users can onboard agents in just a few minutes, supported by a robust evaluation system that provides extensive multi-step trace logging, LLM graders, and customizable assessment features. Users can conduct authentic simulations with adjustable personas to mimic diverse behaviors and rigorously test various scenarios, while techniques for dataset enhancement artificially expand the test set size for more comprehensive evaluation. The platform also promotes prompt experimentation, enabling large-scale dynamic testing across numerous prompts, and includes side-by-side trace analysis to facilitate comparisons of decisions, tool usage, and results across different executions. Moreover, an integrated AI Copilot is on hand to examine traces, interpret results, and answer questions based on the user’s unique code and data, turning agent operations into clear, actionable insights. Additionally, the platform combines human-in-the-loop and automated feedback systems, along with personalized onboarding and expert guidance to guarantee adherence to best practices throughout the engagement. This holistic approach not only streamlines the optimization of agent performance but also fosters a deeper understanding of agent behavior and decision-making processes. Ultimately, AgentHub equips users with the tools needed to refine their AI agents efficiently and effectively.

Media

Media

Integrations Supported

Additional information not provided

Integrations Supported

Additional information not provided

API Availability

Has API

API Availability

Has API

Pricing Information

$300 per month
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Coval

Company Location

United States

Company Website

www.coval.dev/

Company Facts

Organization Name

AgentHub

Date Founded

2023

Company Location

United States

Company Website

www.agenthublabs.com

Categories and Features

Categories and Features

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