About CarbonCopies AI

CarbonCopies AI creates autonomous digital personas that simulate real user behavior to identify bugs and UX issues in web applications. This technology enables teams to conduct user validation and regression testing efficiently, reducing the time and effort spent on manual testing after each update.

```xml <problem> Web application testing is often slow and inefficient, relying on manual regression testing that fails to keep pace with frequent updates. Existing test automation requires constant maintenance due to evolving UX designs, and may not accurately represent real user behavior, leading to missed bugs and UX issues. </problem> <solution> CarbonCopies AI offers autonomous digital personas that simulate real user behavior to automate web application testing and user validation. These AI agents, trained on user segment data, explore applications end-to-end, identifying bugs and UX issues without requiring manual test script maintenance. By embodying the behaviors of different user segments, CarbonCopies AI enables teams to validate user flows from multiple perspectives, reducing the time and effort spent on regression testing and improving overall application quality. The platform integrates with popular collaboration and testing tools, automatically documenting screens, creating flowcharts, and filing bug tickets categorized by user persona. </solution> <features> - AI-powered personas that mimic human typing and tapping to validate websites - End-to-end exploration of web applications to reduce repetitive user validation and regression testing - Persona-specific test flows to simulate the behavior of different user segments (e.g., new vs. existing users, freemium vs. paid users) - Automatic documentation of screens, creation of flowcharts, and filing of bug tickets - Integration with third-party tools like JIRA, Asana, Cucumber, and Amplitude - APIs for seamless data exchange with other business applications </features> <target_audience> The primary target audience includes digital and e-commerce teams, QA engineers, and product managers seeking to automate user validation and regression testing, reduce manual effort, and improve the quality of their web applications. </target_audience> ```

What does CarbonCopies AI do?

When was CarbonCopies AI founded?

CarbonCopies AI was founded in 2024.

Who founded CarbonCopies AI?

CarbonCopies AI was founded by Isabella Yamin.

Isabella Yamin - Co-Founder/CEO

Founded

2024

Employees

2 employees

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CarbonCopies AI

Score: 42/100

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Executive Summary

carboncopies.ai 100+

Founded 2024

Funding

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Team (<5)

Isabella Yamin

Co-Founder/CEO

Company Description

Problem

Web application testing is often slow and inefficient, relying on manual regression testing that fails to keep pace with frequent updates. Existing test automation requires constant maintenance due to evolving UX designs, and may not accurately represent real user behavior, leading to missed bugs and UX issues.

Solution

CarbonCopies AI offers autonomous digital personas that simulate real user behavior to automate web application testing and user validation. These AI agents, trained on user segment data, explore applications end-to-end, identifying bugs and UX issues without requiring manual test script maintenance. By embodying the behaviors of different user segments, CarbonCopies AI enables teams to validate user flows from multiple perspectives, reducing the time and effort spent on regression testing and improving overall application quality. The platform integrates with popular collaboration and testing tools, automatically documenting screens, creating flowcharts, and filing bug tickets categorized by user persona.

Features

AI-powered personas that mimic human typing and tapping to validate websites

End-to-end exploration of web applications to reduce repetitive user validation and regression testing

Persona-specific test flows to simulate the behavior of different user segments (e.g., new vs. existing users, freemium vs. paid users)

Automatic documentation of screens, creation of flowcharts, and filing of bug tickets

Integration with third-party tools like JIRA, Asana, Cucumber, and Amplitude

APIs for seamless data exchange with other business applications

Target Audience

The primary target audience includes digital and e-commerce teams, QA engineers, and product managers seeking to automate user validation and regression testing, reduce manual effort, and improve the quality of their web applications.