Ratings and Reviews 0 Ratings

Total 0 out of 5 stars
ease 0 out of 5 stars
features 0 out of 5 stars
design 0 out of 5 stars
support 0 out of 5 stars

This software has no reviews. Be the first to write a review.

Write a Review

Ratings and Reviews 0 Ratings

Total 0 out of 5 stars
ease 0 out of 5 stars
features 0 out of 5 stars
design 0 out of 5 stars
support 0 out of 5 stars

This software has no reviews. Be the first to write a review.

Write a Review

Alternatives to Consider

  • QA Wolf Reviews & Ratings
    4.8 out of 5 stars 273 Ratings
    Company Website for QA Wolf
  • Virtuoso QA Reviews & Ratings
    4.5 out of 5 stars 131 Ratings
    Company Website for Virtuoso QA
  • Checksum.ai Reviews & Ratings
    5.0 out of 5 stars 2 Ratings
    Company Website for Checksum.ai
  • Parasoft Reviews & Ratings
    4.6 out of 5 stars 152 Ratings
    Company Website for Parasoft
  • MuukTest Reviews & Ratings
    4.6 out of 5 stars 34 Ratings
    Company Website for MuukTest
  • JS7 JobScheduler Reviews & Ratings
    5.0 out of 5 stars 1 Rating
    Company Website for JS7 JobScheduler
  • Flagsmith Reviews & Ratings
    4.8 out of 5 stars 43 Ratings
    Company Website for Flagsmith
  • Gearset Reviews & Ratings
    4.7 out of 5 stars 305 Ratings
    Company Website for Gearset
  • Okyline Reviews & Ratings
    5.0 out of 5 stars 2 Ratings
    Company Website for Okyline
  • Astra Pentest Reviews & Ratings
    4.6 out of 5 stars 296 Ratings
    Company Website for Astra Pentest

What is Treegress?

Treegress is an innovative platform powered by AI that automates quality assurance by seamlessly creating and executing comprehensive end-to-end web tests using only a website URL, thereby removing the necessity for coding, prompts, visual baselines, or step recordings, which contributes to its user-friendly interface. The system carefully examines the website to build a testable map and autonomously formulates test cases that must be approved prior to execution, negating any need for environmental setup or scripting. Teams can easily review, modify, and organize test data, assertions, and expected results into cycles while monitoring execution across various releases. In case a test fails, Treegress provides essential tools such as video replays, console logs, network logs, and shareable links, enabling engineers to quickly pinpoint and fix issues. Additionally, its advanced semantic analysis of the Document Object Model (DOM) and CSS interprets the live structure, styles, and layouts of web applications, while its multi-agent architecture adeptly handles flow discovery, validation, and adaptation simultaneously, significantly boosting testing efficiency. This novel methodology not only simplifies the testing workflow but also empowers teams to produce superior web applications with enhanced assurance, ultimately leading to improved user satisfaction. With these capabilities, Treegress sets a new standard in automated testing, allowing organizations to focus on innovation rather than troubleshooting.

What is Evalgent?

Evalgent operates as a specialized platform focused on assessing and testing AI voice agents. Failures in production are often not the result of poor technology; rather, they arise because demonstrations usually feature flawless audio and compliant users, which do not accurately represent real user experiences. By proactively identifying potential issues before they affect production, Evalgent streamlines the iterative process and fosters a quicker route to generating revenue for voice agents. THE PROCESS 1. Define: establish real-world scenarios and success criteria. 2. Run: perform tests that replicate genuine human behavior. 3. Measure: pinpoint successful aspects, failures, and operational limits. 4. Act: extract clear, actionable insights for necessary modifications or rollouts. KEY FEATURES 1. Scenarios: design and specify test cases according to agent directives. 2. Caller Profiles: simulate authentic user behaviors, accounting for variations in accents, speech tempo, and interruption patterns. 3. Metrics: employ custom LLM-related and telemetry scoring systems to assess every interaction's performance. 4. Evaluations: implement organized testing campaigns that produce pass/fail results alongside recommendations for enhancement. 5. Reviews: integrate human oversight for corrections, accompanied by a detailed audit trail. This comprehensive strategy guarantees that voice agents are thoroughly examined and prepared to handle the intricacies of real-world interactions, ultimately contributing to their success in diverse environments. Each step of the process reinforces the reliability and effectiveness of these AI systems.

Media

Media

Integrations Supported

CSS
Model Context Protocol (MCP)

Integrations Supported

API Availability

API Availability

Pricing Information

$29 per month
Free Trial Offered?

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub
Online Training

Training Options

On-Site Training

Company Facts

Organization Name

Treegress

Company Location

United States

Company Website

www.treegress.com

Company Facts

Organization Name

Evalgent

Date Founded

2025

Company Location

India

Company Website

www.evalgent.com

Categories and Features

AI Testing Tools

Not specified

QA Testing

Not specified

Categories and Features

AI Testing Tools

Not specified

Popular Alternatives

Popular Alternatives

NovaSynth Reviews & Ratings

NovaSynth

Noveum
NeoLoad Reviews & Ratings

NeoLoad

Tricentis