Pangram has secured $9 million in fresh funding as AI Detection becomes increasingly important across digital platforms. The New York-based startup plans to strengthen its technology while expanding tools that identify AI-generated text and images.
The investment round was led by Menlo Ventures with additional backing from Haystack, ScOp, Script Capital, and Cadenza. At the same time, Pangram introduced its latest AI text detection model, Pangram 4, alongside a new AI image detection system currently available through a research preview.
Company executives say the updated text model identifies AI-assisted writing with more than 99% accuracy under internal testing. Moreover, the system detects mixed human and AI content while recognizing text altered through AI humanization software. Pangram expects to release its image detection model more broadly during the coming weeks.
Founders Max Spero and Bradley Emi created Pangram roughly two years ago after generative AI tools dramatically increased automated online content. They believed organizations needed reliable ways to distinguish human work from material produced by artificial intelligence.
According to the company, its detection system relies on machine learning instead of hidden watermarks or embedded metadata. Engineers trained the model using tens of millions of verified human documents before creating AI-generated versions matching similar subjects, writing styles, and document lengths.
This training approach allows the system to compare stylistic differences between authentic writing and AI-generated material. As a result, the software identifies patterns that frequently appear in machine-produced content while preserving confidence in genuine human writing.
The company also emphasizes that AI Detection extends beyond identifying completely machine-generated articles. Instead, the platform measures different levels of AI assistance, including documents that people originally wrote before using artificial intelligence for editing or language improvements.
Spero believes responsible AI assistance remains acceptable when writers openly disclose how they used those tools. Therefore, transparency remains an important part of the company’s overall vision for responsible artificial intelligence adoption.
Growing AI adoption has increased attention on content authenticity across several industries. Some public mistakes involving AI-generated material have highlighted the importance of carefully reviewing content before publication or official presentation.
Academic institutions have also introduced stricter standards regarding AI-generated submissions. Several organizations now require authors to review AI-generated material carefully before submitting research papers or professional documents.
Demand for verification technology continues expanding as businesses, educators, publishers, and recruiters seek dependable methods for evaluating digital content. Consequently, competition among AI detection providers has intensified during the past year.
Several companies now offer similar detection services, each developing different methods for identifying AI-generated writing. Nevertheless, Pangram believes its machine learning approach provides strong accuracy across both text and image analysis.
The company offers individual subscriptions for $20 per month through its online platform. Additionally, users can install a browser extension that automatically labels posts across several popular online platforms while displaying estimated percentages of human and AI-generated content.
Pangram also provides application programming interface access for enterprise customers. Businesses, educational institutions, publishers, recruiters, and other organizations integrate the technology directly into their existing digital platforms and workflows.
The company reports that some publishing platforms already use its technology to help readers understand whether newsletters include AI-generated writing. This feature supports greater transparency while allowing audiences to evaluate content with additional context.
During internal demonstrations, Pangram reported strong performance against fully AI-generated articles and lightly edited machine-produced content. The system also identified many attempts to disguise AI-generated text by rewriting sentences or adjusting writing style.
However, company representatives acknowledge that no detection technology delivers perfect accuracy. Occasionally, the software may incorrectly classify human-written sentences as AI-assisted, although executives say such cases remain relatively uncommon.
Pangram also tested its image detection technology against various AI-generated visuals. According to the company, the model successfully recognized both realistic and artistic AI-created images while identifying manipulated elements within otherwise authentic photographs.
As artificial intelligence continues spreading across online publishing, education, and professional communication, companies increasingly seek practical tools that improve transparency. Pangram believes stronger detection systems will help users better understand the growing volume of AI-generated material appearing across the internet.
The latest investment provides additional resources for expanding product development while supporting broader deployment of its detection technologies. As AI usage accelerates worldwide, Pangram expects demand for reliable verification solutions to continue rising. AI Detection will remain central to the company’s future strategy as organizations seek greater confidence in digital content.
