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Description
AgentHub serves as a dedicated staging platform designed to emulate, trace, and assess AI agents within a secure and private sandbox, allowing for deployment with assurance, agility, and accuracy. Its straightforward setup enables users to onboard agents in mere minutes, complemented by a strong evaluation framework that offers detailed multi-step trace logging, LLM graders, and customizable assessment options. Users can engage in realistic simulations with adjustable personas to replicate varied behaviors and stress-test scenarios, while dataset enhancement techniques artificially increase test set size for thorough evaluation. The system also supports prompt experimentation, facilitating large-scale dynamic testing across multiple prompts, and includes side-by-side trace analysis for comparing decisions, tool usage, and results from different runs. Additionally, an integrated AI Copilot is available to scrutinize traces, interpret outcomes, and respond to inquiries based on the user's specific code and data, transforming agent executions into clear and actionable insights. Furthermore, the platform offers a combination of human-in-the-loop and automated feedback mechanisms, alongside tailored onboarding and expert guidance to ensure best practices are followed throughout the process. This comprehensive approach empowers users to optimize agent performance effectively.
Description
Evalgent serves as a platform dedicated to the testing and evaluation of AI voice agents. The common reasons for failures in production are not due to inadequate technology but stem from the fact that demonstrations typically utilize pristine audio and compliant users, which is not reflective of actual user interactions. By identifying potential failures before they can impact production, Evalgent reduces the time needed for iterations and accelerates the path to revenue for voice agents.
THE PROCESS
1. Define: establish authentic scenarios and criteria for success.
2. Run: execute tests that mimic realistic human behavior.
3. Measure: identify successful elements, failures, and operational boundaries.
4. Act: obtain clear, actionable insights for necessary adjustments or deployments.
KEY FEATURES
1. Scenarios: create and define test cases based on agent directives.
2. Caller Profiles: emulate real user behaviors, including variations in accents, speech speed, and interruption styles.
3. Metrics: utilize custom LLM-related and telemetry scoring to evaluate every interaction.
4. Evaluations: conduct structured testing campaigns that yield pass/fail outcomes along with improvement suggestions.
5. Reviews: incorporate human oversight for corrections, complete with a comprehensive audit trail.
This multifaceted approach ensures that voice agents are thoroughly vetted and ready for the complexities of real-world interactions.
API Access
Has API
API Access
Has API
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Integrations
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Pricing Details
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Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
AgentHub
Founded
2023
Country
United States
Website
www.agenthublabs.com
Vendor Details
Company Name
Evalgent
Founded
2025
Country
India
Website
www.evalgent.com