Startup Pangram has raised $9 million to build better tools for detecting artificial intelligence-generated text and images across the web.
The round was led by Menlo Ventures and reflects rising demand for reliable ways to distinguish human writing from machine-generated content.
Understanding the Rise of AI Content Detection Tools
Chatbots have made it easy for anyone to produce large amounts of text quickly, contributing to a surge of low-quality or misleading material online.
Pangram 4, the company's latest text model, claims more than 99% accuracy, including on mixed human and AI-assisted content.
The firm also released a preview of its image detector, which identifies AI-generated pictures by analyzing subtle pixel-level patterns rather than relying on watermarks.
Stanford graduates founded Pangram two years ago after seeing how large language models could fuel misinformation and AI-generated content across the internet.
Impact on Daily Online Experiences
Everyday users can pay $20 per month or install a browser extension that automatically labels content across websites, including social platforms and newsletters.
Schools, publishers, and other organizations already access the system through its application programming interface (API) to support content review and academic integrity.
The model learns from millions of real documents paired with AI-generated versions to improve detection of machine-written content.
Overall, the funding highlights growing demand for AI detection tools as machine-generated content becomes increasingly widespread online.
Andrew Lee
