About Pangram Labs

Provides a multilingual AI-generated content detection platform that identifies text produced by models like ChatGPT, Claude, and Meta AI with over 99.98% accuracy. It serves educators, publishers, and content moderators by preventing AI plagiarism and ensuring content authenticity across 20+ languages.

```xml <problem> The proliferation of AI-generated content poses challenges to educators, publishers, and content moderators who need to ensure authenticity and prevent AI plagiarism. Existing methods often lack the accuracy and scale required to reliably detect sophisticated AI-generated text across multiple languages. </problem> <solution> Pangram Labs offers an AI-generated content detection platform designed to identify text produced by models such as ChatGPT, Gemini, Claude, and Meta AI. The platform supports over 20 languages and achieves accuracy rates exceeding 99.98%. Pangram's technology provides detailed analysis, breaking down text into segments to identify mixed content and pinpoint AI-generated portions. The system is engineered to be unbiased against non-native speakers and offers integrations, such as a Canvas integration, to enable background AI detection. </solution> <features> - Multilingual support for detecting AI-generated content in over 20 languages - Accuracy rates exceeding 99.98% in identifying text from various AI models - Detailed analysis that segments text to identify mixed content - Unbiased detection model that performs consistently across different writing styles - Canvas integration for educators to detect AI writing within Canvas SpeedGrader - API access for integrating AI detection capabilities into existing workflows - Chrome extension for on-the-fly AI content detection </features> <target_audience> Pangram Labs primarily serves educators seeking to prevent AI plagiarism, publishers aiming to maintain content authenticity, and content moderators working to identify and manage AI-generated material at scale. </target_audience> ```

What does Pangram Labs do?

Where is Pangram Labs located?

Pangram Labs is based in New York City, United States.

When was Pangram Labs founded?

Pangram Labs was founded in 2024.

Location

New York City, United States

Founded

2024

Employees

5 employees

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Pangram Labs

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Executive Summary

pangramlabs.com 500+

Founded 2024 – New York City, United States

Funding

No funding information available.

Team (5+)

No team information available.

Company Description

Problem

The proliferation of AI-generated content poses challenges to educators, publishers, and content moderators who need to ensure authenticity and prevent AI plagiarism. Existing methods often lack the accuracy and scale required to reliably detect sophisticated AI-generated text across multiple languages.

Solution

Pangram Labs offers an AI-generated content detection platform designed to identify text produced by models such as ChatGPT, Gemini, Claude, and Meta AI. The platform supports over 20 languages and achieves accuracy rates exceeding 99.98%. Pangram's technology provides detailed analysis, breaking down text into segments to identify mixed content and pinpoint AI-generated portions. The system is engineered to be unbiased against non-native speakers and offers integrations, such as a Canvas integration, to enable background AI detection.

Features

Multilingual support for detecting AI-generated content in over 20 languages

Accuracy rates exceeding 99.98% in identifying text from various AI models

Detailed analysis that segments text to identify mixed content

Unbiased detection model that performs consistently across different writing styles

Canvas integration for educators to detect AI writing within Canvas SpeedGrader

API access for integrating AI detection capabilities into existing workflows

Chrome extension for on-the-fly AI content detection

Target Audience

Pangram Labs primarily serves educators seeking to prevent AI plagiarism, publishers aiming to maintain content authenticity, and content moderators working to identify and manage AI-generated material at scale.