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Description
CoTester stands as the pioneering AI agent for software testing, poised to revolutionize the field of software quality assurance. This innovative tool is capable of identifying bugs and performance problems both prior to and following deployment, delegating these issues to team members, and ensuring their resolution. Designed to be onboardable, taskable, and trainable, CoTester can perform daily tasks akin to a human software tester, smoothly fitting into current workflows. With its pre-training in advanced software testing principles and the Software Development Life Cycle (SDLC), it significantly enhances the efficiency of quality assurance teams by facilitating the writing, debugging, and execution of test cases at a speed up to 50% faster. Furthermore, CoTester exhibits conversational adaptability, enabling it to comprehend and address intricate testing scenarios while constructing high-quality context tailored to specific project needs. Its seamless integration with existing knowledge bases allows for effective access and utilization of current project documentation, making it an essential asset for any software development team. As a result, CoTester not only improves testing efficiency but also enhances collaboration among team members, ultimately contributing to superior software quality.
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
Airtable
Android
Appium
Apple iOS
Asana
Azure DevOps Server
CircleCI
ClickUp
Cypress
GitHub
Integrations
Airtable
Android
Appium
Apple iOS
Asana
Azure DevOps Server
CircleCI
ClickUp
Cypress
GitHub
Pricing Details
No price information available.
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
TestGrid.io
Founded
2015
Country
United States
Website
testgrid.io/cotester
Vendor Details
Company Name
Evalgent
Founded
2025
Country
India
Website
www.evalgent.com
Product Features
Software Testing
Automated Testing
Black-Box Testing
Dynamic Testing
Issue Tracking
Manual Testing
Quality Assurance Planning
Reporting / Analytics
Static Testing
Test Case Management
Variable Testing Methods
White-Box Testing
