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What is KaneAI?

This groundbreaking AI-powered platform harnesses the power of advanced Large Language Models (LLMs) to revolutionize the way tests are created, debugged, and optimized. By utilizing natural language, it presents a unique approach to crafting comprehensive end-to-end tests. Users can easily generate and improve tests by inputting simple natural language commands, which enhances the testing process through intelligent automation. The platform’s smart test planner autonomously devises and executes test steps that align with overarching project goals. Furthermore, it supports multi-language code export, allowing for the conversion of automated tests into various major programming languages and frameworks. Users can translate their actions into natural language instructions, developing robust tests that align perfectly with their specifications. By expressing intricate conditions and assertions in everyday language, the platform simplifies the interaction, making it as easy as conversing with team members. When you communicate the same instructions to KaneAI, you will witness its impressive capability to automate your testing efforts efficiently. The platform enables the generation of thorough tests based only on high-level objectives, facilitating development across your entire technology stack and guaranteeing comprehensive test coverage for both web and mobile applications. With this innovative solution, the testing process transcends being a mere requirement and seamlessly integrates into your development workflow, ultimately enhancing productivity and efficiency. Embrace this transformation and watch your testing capabilities flourish.

What is Ito?

Ito is a smart QA testing tool that leverages artificial intelligence to automate the running and assessment of every pull request. It builds isolated environments straight from the source code, formulates tests tailored to the specific code changes, and presents the findings as comments on GitHub pull requests, including video recordings, annotated screenshots, and suggested fixes. The integration is seamless, requiring no configuration, which makes it incredibly user-friendly. Aimed at engineering teams eager to speed up their deployment process, Ito guarantees that manual QA processes do not impede efficiency. By optimizing the testing workflow, it enables developers to devote more time to coding rather than dealing with any quality assurance delays. This innovative approach not only enhances productivity but also fosters a more agile development environment.

Media

Media

No images available

Integrations Supported

Appium
Apple iOS
C#
CircleCI
Datadog
Espresso
GitHub
Java
JavaScript
Jenkins
Opera
Playwright
Python
Safari
Selenium
Slack
Taiko
TestMu AI
Visual Studio
Yandex

Integrations Supported

API Availability

Has API

API Availability

Pricing Information

$99
Local authoring through Kane CLI
1 Test Manager seat per agent
AI-native test case generation
Runs end-to-end flows on your local browser
12,000 credits per month per agent
Access to Cloud KaneAI Web
1 concurrent cloud authoring session per agent
Local authoring through Kane CLI
1 Test Manager seat per agent
AI-native test case generation
100 execution minutes a month on HyperExecute, across Linux, Windows and macOS
Includes the latest and Pro features
Free Trial Offered?

Pricing Information

Pricing not provided

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
Linux

Supported Platforms

SaaS

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Not specified

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Not specified

Company Facts

Organization Name

TestMu AI

Date Founded

2017

Company Location

United States

Company Website

www.testmuai.com/kane-ai/

Company Facts

Organization Name

Ito

Date Founded

2026

Company Location

United States

Company Website

www.ito.ai/

Categories and Features

Categories and Features

AI Testing Tools

Not specified

QA Testing

Not specified

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